The Chief Data Officer serves as the executive authority responsible for an organization's data assets, data governance, and analytics capabilities. Daily work involves balancing strategic technological initiatives with regulatory compliance and business enablement. Leaders in this position evaluate modern data architectures, such as cloud data warehouses and lakehouses, while directing policies that safeguard data privacy, security, and quality. They work closely with executive committees, cross-functional business partners, and technical teams to ensure organizational initiatives are supported by accurate, accessible, and actionable data.The operational rhythm moves between long-term strategic planning, risk management, and the tactical deployment of machine learning and business intelligence tools. Problem-solving centers on overcoming data silos, mitigating regulatory risks such as BCBS 239 or HIPAA, and demonstrating return on investment for enterprise data platforms. Professionals who thrive in this career combine deep technical competence in data management with strong executive communication, enterprise leadership, and the judgment needed to direct complex organizational change.
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Responsibilities
Define and execute the enterprise-wide data and analytics strategy to support organizational growth and informed decision-making.
Establish comprehensive data governance, metadata management, and lineage frameworks to maintain high standards of data quality and integrity.
Oversee compliance with data privacy laws, security standards, and industry-specific regulations such as HIPAA, HITECH, or BCBS 239.
Direct the modernization of data architecture, including cloud platforms, lakehouse systems, and data engineering pipelines.
Lead multidisciplinary teams across data science, business intelligence, decision science, and artificial intelligence deployment.
Formulate control environments, assess enterprise data risks, and implement remediation plans in coordination with audit and risk functions.
Collaborate with executive leadership and board members to align data investments with organizational objectives and budget allocations.
Qualifications
Bachelor's degree in Data Science, Computer Science, Statistics, Information Systems, or a related discipline.
Ten or more years of progressive experience in data management, analytics, or enterprise technology leadership.
Demonstrated experience designing and implementing enterprise data governance, data quality, and regulatory compliance programs.
Proven track record of managing large, multidisciplinary technical teams and executing enterprise-wide data transformations.
In-depth expertise in modern data architecture, including cloud platforms such as AWS, Azure, Databricks, or Snowflake.
Nice to Have
Master's degree or higher in Computer Science, Data Science, Business Administration, or a related field.
Direct experience deploying machine learning models, artificial intelligence initiatives, or autonomous workflow orchestration to production.
Specialized industry knowledge in financial services controls or healthcare regulatory environments.
Prior background in Big Four management consulting or leading global, distributed data organizations.
Environment
Work is predominantly performed in corporate office and hybrid environments, with significant time spent in executive and board-level meetings.
Collaborative and governance-heavy culture requiring constant interaction with legal, risk, engineering, and business unit leaders.
Standard executive work hours with frequent requirements to address critical system transformations, audit deadlines, or data risk incidents.
Utilization of enterprise governance and data tools, including platforms like Collibra, Alteryx, Databricks, and major cloud services.
Occasional travel required for executive retreats, industry conferences, and oversight of regional or global data operations.
Benefits & Growth
Executive compensation structures typically feature competitive base salaries paired with performance-driven annual bonuses and long-term equity participation.
Opportunities to advance into broader chief executive, chief operating officer, or board director roles as data becomes central to corporate strategy.
Access to executive development programs, industry advisory councils, and technical leadership symposiums.
Comprehensive executive benefits including deferred compensation plans, premium healthcare coverage, and dedicated travel allowances.