Upgrade to Himalayas Plus and turbocharge your job search.
Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!
For job seekers
Create your profileBrowse remote jobsDiscover remote companiesJob description keyword finderRemote work adviceCareer guidesJob application trackerAI resume builderResume examples and templatesAI cover letter generatorCover letter examplesAI headshot generatorAI interview prepInterview questions and answersAI interview answer generatorAI career coachFree resume builderResume summary generatorResume bullet points generatorResume skills section generatorRemote jobs RSSRemote jobs widgetCommunity rewardsJoin the remote work revolution
Himalayas is the best remote job board. Join over 200,000 job seekers finding remote jobs at top companies worldwide.
Upgrade to unlock Himalayas' premium features and turbocharge your job search.
Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!
Data Governance professionals are the unsung heroes ensuring an organization's most valuable asset—its data—remains accurate, secure, and compliant. They establish the policies and processes that transform raw information into trustworthy, decision-ready insights, protecting against risks while unlocking new business opportunities.
This critical role sits at the intersection of technology, business strategy, and regulatory compliance, making it essential for any data-driven enterprise. You'll build frameworks that empower data users, ensuring data integrity and ethical use across the entire organization.
$145,200 USD
(for Information Systems Managers, May 2023, BLS)
Range: $90k - $200k+ USD
16%
much faster than average (for related roles like Information Systems Managers and Data Scientists, 2022-2032, BLS)
≈10,000
-15,000 openings annually (estimated, as Data Governance is a specialized subset of broader data and IT management roles, based on BLS projections for Information Systems Managers and Data Scientists)
Bachelor's degree in Information Technology, Computer Science, Business Analytics, or a related field. Master's degrees or certifications like CDMP (Certified Data Management Professional) are highly valued.
A Data Governance professional establishes and enforces policies and procedures for managing an organization's data assets. This role ensures data quality, integrity, security, and usability across all systems and departments. They are the architects of data trust, building frameworks that dictate how data is collected, stored, accessed, and utilized to ensure compliance with regulations and support informed decision-making.
This role differs significantly from a Data Analyst or Data Scientist, who primarily focus on extracting insights from data. A Data Governance professional focuses on the 'health' and 'rules' of the data itself, rather than its analytical output. They also differ from a Database Administrator, who manages the technical infrastructure of databases. Instead, Data Governance oversees the strategic and policy aspects of data, ensuring it serves the organization's overall objectives and regulatory requirements, which is crucial for modern data-driven businesses.
Data governance professionals primarily work in office environments, which may be traditional, hybrid, or fully remote, depending on the organization's policy. The role is highly collaborative, requiring frequent interaction with data owners, IT teams, legal departments, and business stakeholders. The pace can be steady, with defined projects and ongoing monitoring, but also includes periods of intense activity during policy implementation or incident response. While travel is not typically extensive, occasional visits to different company sites or industry conferences might occur. Work-life balance is generally stable, though project deadlines or critical data issues may sometimes require extended hours.
Professionals in data governance utilize a variety of tools to manage and enforce data policies. Data cataloging tools like Informatica Axon, Collibra, or Alation help in documenting data assets, their lineage, and metadata. Data quality tools such as Talend Data Quality, IBM InfoSphere QualityStage, or Ataccama ONE are essential for profiling, cleansing, and monitoring data integrity. For master data management (MDM), platforms like Informatica MDM, SAP MDG, or Reltio Cloud are frequently used to create a single, authoritative source of truth. They also work with business intelligence (BI) tools like Tableau, Power BI, or Qlik Sense to visualize data governance metrics. Familiarity with SQL for data querying and understanding of cloud platforms like AWS, Azure, or Google Cloud is also increasingly important.
Data Governance roles ensure data quality, security, and compliance within an organization. They establish policies, standards, and processes to manage data assets effectively. The qualification landscape for this field is evolving, with a growing emphasis on practical experience and certifications alongside traditional degrees.
Requirements for Data Governance professionals vary significantly based on seniority, company size, and industry. Entry-level positions might focus on data cataloging and metadata management. Senior roles often require extensive experience in compliance frameworks, risk management, and strategic data initiatives. Large enterprises frequently demand specialized knowledge of industry-specific regulations like GDPR, HIPAA, or CCPA. Smaller companies may seek generalists capable of covering multiple aspects of data management.
Formal education, such as a Bachelor's or Master's degree, provides a strong theoretical foundation. However, practical experience in data management, IT, or compliance often holds equal or greater weight, especially for mid-career and senior roles. Certifications from organizations like DAMA International (CDMP) or those focused on specific compliance areas (e.g., CIPP/US for privacy) significantly enhance marketability. The field increasingly values professionals who understand both technical data architecture and legal/regulatory landscapes. The balance between breadth and depth of skills shifts; early career professionals benefit from a broad understanding, while senior roles demand deep expertise in specific governance domains like data quality or privacy.
Entering the Data Governance field offers multiple pathways, from traditional academic routes to self-taught practical experience. A complete beginner might anticipate a 12-18 month journey to a foundational role, focusing on certifications and project work. Career changers with transferable skills from compliance, data analysis, or IT might transition in 6-12 months, leveraging their existing professional background.
Entry strategies vary significantly by company size and industry. Larger enterprises often prefer candidates with formal certifications or degrees in data management, while startups might prioritize hands-on experience with data quality tools and agile methodologies. Geographic location also plays a role; major tech hubs tend to have more opportunities and a higher demand for specialized skills.
A common misconception is that a purely technical background is sufficient. Data Governance heavily involves understanding business processes, regulatory compliance, and cross-functional communication. Building a portfolio that demonstrates your ability to bridge the gap between technical data challenges and business needs is crucial for standing out.
The Data Governance field demands a blend of technical understanding, regulatory knowledge, and organizational process expertise. Formal university degrees in fields like Information Systems, Business Analytics, or Computer Science provide a strong theoretical foundation, typically costing $40,000-$100,000+ for a 4-year bachelor's degree and taking four years to complete. These programs offer broad knowledge, but often require supplementation with specialized data governance certifications to address specific industry standards and tools.
Alternative learning paths, such as professional certifications, specialized online courses, and bootcamps, offer more focused training. Certifications from organizations like DAMA International or industry-specific bodies can range from $500-$5,000 and typically require 3-6 months of dedicated study. Online platforms offer courses from $50 to $2,000, with completion times varying from a few weeks to several months depending on intensity. These options provide targeted skills faster and at a lower cost, making them attractive for career changers or professionals looking to upskill.
Employers increasingly value practical experience alongside theoretical knowledge. While a degree signals a strong academic background, certifications and demonstrated project work validate specific data governance competencies. Continuous learning is crucial; regulations, technologies, and best practices evolve rapidly. Educational needs vary by specialization within data governance—a compliance-focused role needs different training than a data quality management position. Cost-benefit considerations should factor in career trajectory and the specific requirements of target employers, as some organizations prefer degree holders while others prioritize relevant certifications and hands-on experience.
Compensation for Data Governance professionals varies significantly based on several factors. Geographic location plays a crucial role; major tech hubs and financial centers often offer higher salaries due to increased demand and cost of living. Conversely, regions with lower living expenses may present more modest compensation.
Years of experience, specialized skills in areas like data quality, metadata management, or regulatory compliance, and certifications directly influence earning potential. Total compensation extends beyond base salary to include performance bonuses, stock options or equity, comprehensive health benefits, and retirement contributions. Many companies also offer professional development allowances for certifications and ongoing training.
Industry-specific trends also drive salary growth. Highly regulated sectors such as finance, healthcare, and pharmaceuticals typically offer premium compensation for robust data governance expertise. Remote work has introduced new dynamics, allowing professionals to access higher-paying roles regardless of their physical location, sometimes leading to geographic arbitrage opportunities. Negotiation leverage increases with proven experience in implementing successful data governance frameworks and demonstrating tangible business value. While salary figures primarily reflect the US market, international variations can be substantial, often correlating with economic development and data maturity in specific regions.
| Level | US Median | US Average |
|---|---|---|
| Data Governance Analyst | $75k USD | $80k USD |
| Data Governance Specialist | $100k USD | $105k USD |
| Data Governance Manager | $130k USD | $135k USD |
| Senior Data Governance Manager | $155k USD | $160k USD |
| Director of Data Governance | $190k USD | $195k USD |
| VP of Data Governance | $240k USD | $250k USD |
The job market for Data Governance professionals shows robust growth, driven by increasing regulatory scrutiny, the proliferation of data, and the critical need for data quality and compliance. Organizations are investing heavily in data infrastructure, making data governance a foundational element. This demand is particularly strong in industries like finance, healthcare, and government, where data integrity and privacy are paramount.
Emerging opportunities include specializations in AI ethics and governance, cloud data governance, and master data management. The demand for qualified professionals currently outpaces the supply, creating a favorable market for skilled candidates. Future-proofing in this role involves continuous learning in evolving data regulations (e.g., GDPR, CCPA), advanced data quality tools, and understanding how AI and machine learning impact data lineage and control. While some aspects of data management may see automation, the strategic and interpretive elements of data governance, especially policy-making and ethical oversight, remain inherently human.
This profession is largely recession-resistant as data management and compliance remain critical business functions regardless of economic cycles. Geographic hotspots for data governance roles include major metropolitan areas with strong financial or technology sectors, such as New York, San Francisco, and Washington D.C. The increasing acceptance of remote work also expands the talent pool and opportunities beyond these traditional hubs.
Career progression in Data Governance involves a blend of technical understanding, regulatory knowledge, and organizational influence. Professionals typically advance by deepening their expertise in data quality, metadata management, and policy enforcement, while also expanding their leadership and strategic capabilities.
Advancement often follows two primary paths: an individual contributor (IC) track focused on deep technical specialization and complex problem-solving, or a management track centered on leading teams, establishing governance frameworks, and driving organizational change. Factors such as company size, industry (e.g., finance, healthcare, tech), and the maturity of an organization's data strategy significantly influence the speed and direction of progression. Performance, continuous learning, and the ability to demonstrate value through improved data integrity and compliance are crucial for moving forward.
Lateral moves are common, allowing professionals to specialize in areas like data privacy, data architecture, or data quality engineering. Networking, mentorship, and active participation in industry groups enhance visibility and create opportunities. Certifications in data governance or related fields often mark significant milestones. Some professionals transition into broader data leadership roles or consulting, leveraging their governance expertise to advise multiple organizations.
Support the implementation of data governance policies and procedures. Assist with data quality assessments, metadata capture, and data lineage documentation. Work closely with data stewards to resolve data issues and ensure compliance. Primarily execute defined tasks with direct supervision, impacting specific datasets or small projects.
Develop foundational knowledge in data governance principles, data quality dimensions, and metadata concepts. Learn to use data governance tools and platforms. Focus on understanding data lifecycles, regulatory requirements (e.g., GDPR, CCPA), and internal policies. Build strong communication and analytical skills to support data stewardship activities.
Ace your application with our purpose-built resources:
Personalizable templates that showcase your impact.
View examplesReady-to-use JD for recruiters and hiring teams.
View examplesData Governance professionals ensure data quality, security, and compliance across organizations globally. This role is crucial due to increasing data regulations like GDPR and CCPA, driving high international demand in 2025. Professionals in this field navigate diverse regulatory frameworks and cultural approaches to data management. Considering international opportunities allows them to engage with varied industry standards and advance specialized skill sets. Certifications like CDMP or CIPP/E enhance global mobility significantly.
Data Governance salaries vary significantly by region and experience. In North America, a Data Governance Analyst typically earns $80,000 to $130,000 USD annually, while a Data Governance Manager can command $120,000 to $180,000 USD. For example, in New York City, a manager might earn $160,000, but the high cost of living means purchasing power is lower than in, say, Dallas where a similar role might pay $130,000.
In Europe, salaries are often lower in nominal terms but reflect different cost-of-living structures. A Data Governance Specialist in London might earn £50,000-£85,000 ($65,000-$110,000 USD), while in Berlin, the range is €55,000-€90,000 ($60,000-$98,000 USD). Countries like Switzerland offer higher nominal salaries, with specialists earning CHF 90,000-CHF 130,000 ($100,000-$145,000 USD), but also have very high living costs.
Asia-Pacific markets show diverse ranges. Singapore offers S$70,000-S$120,000 ($52,000-$90,000 USD) for analysts, while in Australia, the range is A$90,000-A$140,000 ($60,000-$95,000 USD). Japan's market is more conservative, with salaries for specialists ranging from ¥6,000,000 to ¥10,000,000 ($40,000-$67,000 USD). Latin America generally presents lower nominal salaries, for instance, in Brazil, a Data Governance professional might earn R$80,000-R$150,000 ($16,000-$30,000 USD). Salary structures also differ; European countries often include more generous vacation and healthcare benefits, while North American packages might emphasize bonuses and equity. Tax implications vary widely; understanding net take-home pay is crucial for international comparisons. Experience and specialized certifications significantly impact compensation across all regions.
Data Governance lends itself well to international remote work, as much of the role involves policy development, process definition, and virtual collaboration. Many organizations now offer international remote roles for Data Governance specialists, driven by the global need for data compliance. However, legal and tax implications are complex, requiring careful consideration of permanent establishment rules and individual tax residency in both the employer's and employee's countries.
Time zone differences present a key challenge for international teams, necessitating flexible working hours and asynchronous communication strategies. Digital nomad visas, offered by countries like Portugal and Estonia, provide pathways for Data Governance professionals to live and work remotely abroad. Companies are increasingly adapting global hiring policies to accommodate this trend, though salary expectations for international remote workers may be adjusted based on the employee's location and local cost of living. Reliable internet and a dedicated home office setup are essential for success.
Data Governance professionals often qualify for skilled worker visas in many countries due to the specialized nature of their role. Popular destinations like Canada, Australia, and the UK have specific points-based or employer-sponsored visa categories. For instance, Canada's Express Entry system and Australia's Skilled Independent visa (subclass 189) frequently include data-related occupations. The UK's Skilled Worker visa requires sponsorship from a licensed employer.
Education credential recognition is crucial; applicants often need their degrees assessed for equivalency. Professional licensing is generally not required for Data Governance, but certifications like CDMP or CIPP/E are highly valued. Visa timelines vary, typically ranging from a few months to over a year, depending on the country and visa type. Many skilled worker visas offer pathways to permanent residency and, eventually, citizenship. Language requirements, such as IELTS or PTE for English-speaking countries, are common. Some countries, like Germany, offer job seeker visas that allow professionals to enter and search for employment directly in the country. Family visas for dependents are usually available alongside the primary applicant's visa.
Understanding current market conditions is vital for Data Governance professionals. The field has evolved significantly between 2023 and 2025, driven by post-pandemic digital acceleration and the rapid integration of AI. Broader economic factors influence investment in data initiatives, directly impacting job availability.
Market realities in Data Governance vary considerably by experience level, with senior roles seeing more demand than entry-level positions. Geographic location and company size also play a role; larger enterprises and regulated industries often have more established governance functions. This analysis provides an honest assessment of these dynamics, helping you navigate the current landscape.
Data Governance professionals face increased competition from a larger pool of candidates, many with new certifications in AI governance. Market saturation appears at entry-level roles, making initial entry difficult without specialized experience. Economic uncertainty causes many companies to pause new data initiatives, slowing hiring. Also, a skill gap exists as employers seek candidates with both traditional governance knowledge and expertise in AI ethics and automated governance tools.
Job searches for these roles often extend several months due to fewer open positions and higher candidate volumes.
Despite market challenges, strong demand exists for Data Governance professionals specializing in AI governance, data ethics, and privacy regulations like GDPR and CCPA. Emerging roles include AI Governance Lead, Data Ethicist, and Data Trust Officer, focusing on responsible AI deployment and data lineage within AI models.
Professionals can gain an advantage by acquiring certifications in AI governance frameworks or demonstrating practical experience with automated governance tools. Underserved markets exist in medium-sized businesses and industries newly adopting extensive AI, such as manufacturing and retail, where foundational governance is still developing. Expertise in data quality, metadata management, and master data management (MDM) combined with AI literacy offers a significant competitive edge.
Strategic career moves might involve focusing on industries undergoing digital transformation or those heavily regulated. Investing in skills related to data fabric architectures and data mesh principles also creates opportunities. The market correction emphasizes efficiency and data integrity, making strong governance skills more valuable than ever for long-term strategic growth.
Hiring for Data Governance roles shows sustained demand, particularly for mid to senior-level specialists. Companies recognize the critical need for structured data environments, especially as AI adoption expands. Recent industry changes emphasize proactive governance, moving beyond reactive compliance to strategic data asset management.
Economic conditions, while volatile, highlight the value of efficient data use, often leading companies to invest in governance to improve operational efficiency. Generative AI and advanced analytics are transforming the field, creating new requirements for managing AI-generated data, model explainability, and ethical AI use. This shifts employer focus towards candidates who understand data lineage for AI, synthetic data governance, and automated policy enforcement.
Salary trends for experienced Data Governance professionals remain strong, reflecting the specialized skill set required. However, market saturation exists at the junior level, making entry challenging. Geographically, demand is highest in financial services, healthcare, and technology hubs, with remote work normalizing for many roles, increasing the talent pool and competition. Companies are increasingly seeking professionals who can bridge the gap between technical data management and business strategy, with a strong emphasis on data quality frameworks and metadata management.
The field of Data Governance is experiencing a transformative period, driven by the rapid evolution of technology and increasingly stringent regulatory landscapes. New specialization opportunities are continually emerging, offering professionals a chance to shape the future of data management. Early positioning in these cutting-edge areas is crucial for career advancement, allowing individuals to become pioneers rather than followers in the next generation of data-centric roles. These emerging specializations often command premium compensation and accelerate career growth due to the scarcity of specialized expertise.
While established specializations in data governance remain foundational, focusing on emerging areas provides a strategic advantage. These new niches often intersect with fields like artificial intelligence, cybersecurity, and environmental, social, and governance (ESG) initiatives, creating hybrid roles with unique demands. The timeline for these emerging areas to become mainstream and generate significant job opportunities varies, but many are poised for substantial growth within the next three to five years. Pursuing these cutting-edge specializations involves a balance of risk and reward. While they offer high potential for impact and remuneration, they also require continuous learning and adaptability to rapidly changing technological and regulatory environments. Strategic professionals will identify these trends and invest in developing the necessary skills to lead in these evolving domains.
The proliferation of AI and machine learning models creates new challenges for data governance, particularly concerning bias, fairness, and transparency. This specialization focuses on establishing and enforcing governance frameworks for AI systems, ensuring data used in models is ethical, compliant, and explainable. Professionals in this area define policies for data lineage within AI pipelines, monitor model outputs for unintended consequences, and ensure adherence to emerging AI regulations like the EU AI Act. Their work is critical for building trust in AI and mitigating reputational and legal risks associated with algorithmic decision-making.
As organizations increasingly adopt multi-cloud and hybrid cloud environments, governing data across disparate systems becomes complex. This specialization addresses the unique challenges of data governance in distributed cloud infrastructures, focusing on consistency, security, and compliance across various cloud providers. Professionals in this area design and implement cloud-native data governance solutions, manage data sovereignty and residency requirements, and ensure seamless data flow while maintaining strict control over data access and usage. Their expertise is vital for secure and compliant cloud adoption.
The growing emphasis on environmental, social, and governance (ESG) factors requires robust data governance to ensure the accuracy, reliability, and auditability of ESG data. This specialization focuses on establishing governance frameworks for non-financial data, including sustainability metrics, diversity statistics, and ethical supply chain information. Professionals in this area define data collection methodologies, validate data sources, and ensure compliance with emerging ESG reporting standards and regulations. Their role supports corporate transparency and responsible business practices, critical for investor confidence and regulatory scrutiny.
The increasing volume and sensitivity of privacy-related data, combined with evolving regulations like GDPR and CCPA, necessitate specialized governance. This area focuses on establishing and maintaining comprehensive data privacy governance programs. Professionals define data privacy policies, manage consent frameworks, oversee data subject access requests, and ensure data minimization and purpose limitation principles are applied across the organization. Their work is essential for protecting individual rights and avoiding significant regulatory penalties.
The rise of advanced analytics and real-time data processing demands immediate and reliable data for effective decision-making. This specialization focuses on governing the quality, consistency, and timeliness of data streams and real-time data pipelines. Professionals in this area develop and implement real-time data quality rules, establish monitoring mechanisms for data integrity in motion, and ensure low-latency data availability for operational analytics. Their expertise is crucial for organizations relying on immediate insights and automated processes.
Choosing a career requires understanding both the benefits and challenges. This is especially true for data governance, a field critical for organizational success but often misunderstood. Career experiences in data governance can vary significantly based on company culture, industry sector, specific team structure, and individual specialization areas. What one person finds advantageous, another might find challenging, reflecting personal values and lifestyle preferences. Furthermore, the pros and cons may shift at different career stages, with early career professionals facing different hurdles than seasoned leaders. This assessment provides an honest, balanced view to help set realistic expectations for a career in data governance.
Data Governance professionals face unique challenges balancing regulatory compliance with practical data usability. This section addresses the most common questions about establishing robust data frameworks, from navigating complex organizational structures to ensuring data quality and security across diverse systems.
Entry into data governance often requires a blend of skills rather than a single degree. Many successful professionals come from backgrounds in data analysis, IT, compliance, or business process management. Relevant certifications like Certified Data Management Professional (CDMP) or specific vendor certifications in data governance tools can significantly bolster your qualifications and demonstrate commitment to the field.
Transitioning into data governance from a related field like data analysis or IT can take 6-12 months of focused learning and networking. If you are entirely new to the data space, expect 1-2 years to build foundational knowledge in data management, compliance, and organizational processes. Gaining practical experience through projects or volunteer work is crucial to accelerate your readiness.
Salaries for Data Governance professionals vary significantly based on experience, location, and industry. Entry-level roles might start around $70,000-$90,000, while experienced professionals with specialized skills can earn upwards of $120,000-$180,000 annually. Compensation often reflects the critical importance of data integrity and regulatory adherence within an organization.
Data Governance roles typically involve standard business hours, though project deadlines or critical incidents might occasionally require extended work. The work-life balance is generally stable, as the role focuses on strategic planning and implementation rather than reactive troubleshooting. Remote work is increasingly common, offering flexibility for many positions.
The demand for Data Governance professionals is growing steadily as organizations increasingly recognize the value of trusted data and face stricter regulatory requirements. This field offers strong job security because data governance is not a one-time project but an ongoing, essential function for any data-driven business. Specialization in areas like privacy (GDPR, CCPA) further enhances job prospects.
Career growth in Data Governance can lead to senior governance specialist roles, data stewardship leadership, or management positions overseeing entire data strategy departments. Professionals can also specialize in areas such as data quality, data privacy, or metadata management. The path often involves taking on more complex projects and leading cross-functional initiatives.
A primary challenge is navigating organizational politics and resistance to change, as data governance often requires new processes and responsibilities across different departments. Another challenge is balancing strict compliance requirements with the need for data accessibility and usability. You must be adept at communication and persuasion to foster a data-conscious culture.
Many Data Governance roles offer remote or hybrid work options, especially as organizations adopt distributed teams and cloud-based data platforms. The work involves significant coordination and communication, which can be effectively managed virtually through collaboration tools. However, some roles, particularly those requiring direct interaction with on-premise systems, might necessitate occasional office presence.
Explore similar roles that might align with your interests and skills:
A growing field with similar skill requirements and career progression opportunities.
Explore career guideA growing field with similar skill requirements and career progression opportunities.
Explore career guideA growing field with similar skill requirements and career progression opportunities.
Explore career guideA growing field with similar skill requirements and career progression opportunities.
Explore career guideA growing field with similar skill requirements and career progression opportunities.
Explore career guideUnderstanding where you stand today is the first step toward your career goals. Our Career Coach helps identify skill gaps and create personalized plans.
Get a detailed assessment of your current skills versus Data Governance requirements. Our AI Career Coach identifies specific areas for improvement with personalized recommendations.
See your skills gapEvaluate your overall readiness for Data Governance roles with our AI Career Coach. Receive personalized recommendations for education, projects, and experience to boost your competitiveness.
Assess your readinessTake ownership of specific data governance initiatives, such as establishing data dictionaries or improving data quality for critical systems. Act as a primary point of contact for data governance inquiries within designated business units. Independently analyze data issues and propose solutions, impacting data integrity across multiple departments.
Deepen expertise in specific data domains and governance frameworks. Cultivate skills in root cause analysis for data quality issues and develop remediation strategies. Enhance stakeholder management abilities, particularly with data owners and business users. Consider certifications in data governance or related compliance areas.
Lead a team of data governance analysts or specialists. Develop and implement data governance frameworks, policies, and standards across the organization. Manage data governance projects and initiatives, ensuring alignment with business objectives. Influence cross-functional teams to adhere to governance principles, impacting enterprise-wide data quality and compliance.
Develop leadership and team management skills. Focus on strategic planning for data governance programs, including roadmap development and resource allocation. Improve negotiation and influencing skills to drive adoption of governance policies across the organization. Understand change management principles for successful implementation.
Oversee multiple data governance programs or a significant portion of the enterprise data governance function. Drive the evolution of the data governance roadmap, integrating it with broader data strategy and digital transformation initiatives. Influence senior stakeholders on data policy and investment decisions. Manage complex governance challenges across diverse business units, with a significant impact on organizational data maturity.
Advance strategic thinking and program management capabilities. Focus on enterprise-level data governance strategy, including risk management and regulatory compliance. Develop strong executive communication and presentation skills. Mentor junior managers and foster a culture of data accountability.
Lead the entire data governance function for the organization. Define the strategic direction, operating model, and long-term roadmap for data governance. Establish enterprise-wide data policies and standards, ensuring compliance and mitigating data-related risks. Report to executive leadership, influencing major data decisions and impacting the company's competitive advantage.
Shape the overall data governance vision and strategy for the organization. Cultivate strong leadership skills, including talent development and organizational design. Build relationships with external regulatory bodies and industry peers. Focus on thought leadership and driving innovation in data governance practices.
Hold ultimate responsibility for the enterprise data governance strategy and execution. Oversee all aspects of data governance, data quality, and data privacy across the organization. Serve as a key executive advisor on data-related risks, opportunities, and compliance. Influence organizational structure and investment decisions to ensure data assets are managed effectively at the highest level, directly impacting business performance and regulatory standing.
Drive the strategic integration of data governance with overall business strategy and digital transformation. Focus on board-level communication and risk management related to data. Champion a data-driven culture across the entire enterprise. Engage in industry-wide discussions and shape future data governance trends.
Ready to take the next step? Browse the latest Data Governance opportunities from top companies.
United States onlyEmployee count: 501-1000
Salary: 181k-206k USD
United States onlyEmployee count: 501-1000
Salary: 140k-160k USD
Learn from experienced Data Governances who are actively working in the field. See their roles, skills, and insights.
United States185k-275k USD
Privacy, security, and AI governance leader driving compliance and scalable programs.
I build data governance, metadata, and quality controls to protect data integrity and privacy.
Senior Data Governance Analyst with expertise in compliance and data quality.
Data governance and data quality specialist driving compliance, clarity, and measurable improvement.
Experienced Data Governance Professional enhancing data quality and compliance.
France only
Ireland only
