Director PPM Data Stewardship Lead

Regeneron PharmaceuticalsTarrytown, GA
23hOnsite

About The Position

The Director Data Stewardship Lead (Director Level) is a strategic enterprise role responsible for establishing and leading the data stewardship function at the portfolio level. This individual will define the vision, strategy, and operating model for stewardship, ensuring data integrity, accessibility, and consistency to enable enterprise planning, portfolio insights, and informed decision-making. They will work closely with Data Governance, the key system Business Process Owner (e.g. Planisware, Planview), Portfolio Management, Program and Project Planning, DADS (Data Analytics & Data Science), and domain data owners to operationalize stewardship practices and embed robust data standards, quality frameworks, and analytical capabilities into the organization’s core operations. This role carries responsibility to build out and lead a team over time, enabling the maturation and scaling of the stewardship function. NOTE: This role must be onsite 4-days per week in either our Tarrytown, NY or Warren, NJ office and is NOT eligible remote. A typical day in this role: Establish and lead the data stewardship function, including defining the strategic vision, operating model, and foundational processes, with a roadmap to build and lead a dedicated team over time. Partner with Data Governance to build upon and implement enterprise-wide data policies, standards, and SOPs that support regulatory compliance and business objectives. Collaborate with system Business Process Owners and Program, Portfolio Management and Project Planning Lead to align stewardship practices with enterprise planning systems and processes. Work closely with DADS (Data Analytics & Data Science) to ensure stewardship activities support enterprise analytics, data products, and AI/ML initiatives. Curate and maintain business metadata (definitions, glossary terms, business rules) to promote consistent data understanding and usage across functional domains. Ensure the quality, integrity, and completeness of portfolio-level data (study/program timelines, resource, financial, and operational metadata), including definition of data quality metrics and remediation plans. Design and oversee development of dashboards and reports to monitor stewardship performance, operational data quality, and portfolio trends, enabling data-driven decision making. Lead data integration and migration initiatives, ensuring seamless alignment between legacy systems and enterprise data platforms. Champion a data-driven culture by developing training, guidance, and communication strategies that empower business users to adopt governed data practices. Continuously assess and integrate emerging technologies (e.g., AI/GenAI) to enhance metadata management, anomaly detection, and stewardship efficiency.

Requirements

  • Extensive knowledge of drug development, project planning, and data management, with expertise in implementing data governance policies and upholding data quality standards.
  • Proficient in project planning and analytics software such as Planisware, Microsoft Project, OnePager, and Microsoft Office (Word, Excel, PowerPoint), including dashboard and report creation.
  • Strong analytical, communication, and collaboration skills, with the ability to identify, report, and escalate risks, and convey complex data insights to diverse stakeholders.
  • Experienced in managing and monitoring data quality processes, including validation, reconciliation, and continuous improvement across study, program, resource, and financial data.
  • Skilled in designing and maintaining metrics, dashboards, and reports to track operational performance, resource utilization, and financial outcomes.
  • Proven ability to provide training and guidance on data stewardship best practices, facilitate alignment on data standards, and support adoption of new data environments and tools.
  • Committed to staying current with industry trends, regulatory requirements, and emerging technologies to enhance data stewardship and analytics capabilities.
  • A minimum of a Bachelors Degree and 12+ years in data management, analytics, resource management, or related roles, with at least 5 years in a leadership or strategic capacity

Nice To Haves

  • Data management or governance certifications (e.g., CDMP) and/or PMI Project Management Professional (PMP) is preferred.

Responsibilities

  • Establish and lead the data stewardship function, including defining the strategic vision, operating model, and foundational processes, with a roadmap to build and lead a dedicated team over time.
  • Partner with Data Governance to build upon and implement enterprise-wide data policies, standards, and SOPs that support regulatory compliance and business objectives.
  • Collaborate with system Business Process Owners and Program, Portfolio Management and Project Planning Lead to align stewardship practices with enterprise planning systems and processes.
  • Work closely with DADS (Data Analytics & Data Science) to ensure stewardship activities support enterprise analytics, data products, and AI/ML initiatives.
  • Curate and maintain business metadata (definitions, glossary terms, business rules) to promote consistent data understanding and usage across functional domains.
  • Ensure the quality, integrity, and completeness of portfolio-level data (study/program timelines, resource, financial, and operational metadata), including definition of data quality metrics and remediation plans.
  • Design and oversee development of dashboards and reports to monitor stewardship performance, operational data quality, and portfolio trends, enabling data-driven decision making.
  • Lead data integration and migration initiatives, ensuring seamless alignment between legacy systems and enterprise data platforms.
  • Champion a data-driven culture by developing training, guidance, and communication strategies that empower business users to adopt governed data practices.
  • Continuously assess and integrate emerging technologies (e.g., AI/GenAI) to enhance metadata management, anomaly detection, and stewardship efficiency.

Benefits

  • health and wellness programs (including medical, dental, vision, life, and disability insurance)
  • fitness centers
  • 401(k) company match
  • family support benefits
  • equity awards
  • annual bonuses
  • paid time off
  • paid leaves (e.g., military and parental leave)
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