Data Strategy, Program Leader

Association of American Medical Colleges•Washington, DC

11d•$127,500 - $150,000•Remote

About The Position

The Enterprise Data Strategy Program Leader is a senior individual contributor responsible for defining, operationalizing, and advancing the organization’s Enterprise Data Strategy. The role connects business priorities, technology investments, analytics, AI, and enterprise data capabilities so data is used as a strategic asset. Working with executive leadership, Enterprise Architecture, Data Governance, Product Management, Analytics, and business leaders, the position develops enterprise data roadmaps, prioritizes strategic investments, establishes implementation frameworks, and leads cross-functional programs that deliver measurable business value. The role operates with significant autonomy and influences enterprise decisions without direct managerial authority. The position ensures enterprise data initiatives are aligned, sequenced, funded, measurable, and positioned to support organizational strategy, digital transformation, analytics, and responsible AI adoption. It leads strategy and portfolio planning, cross-functional implementation and organizational change, executive communications, and continuous evaluation of emerging trends and strategic opportunities. This is a remote-eligible position. Candidates may reside anywhere within the contiguous United States, excluding California, Massachusetts, New York, and Oregon. The compensation grade range is $127,500 to $150,000 annually.

Requirements

Bachelor’s degree in Business Administration, Information Systems, Computer Science, Data Management, or Enterprise Architecture; related work experience may be substituted in some positions.
10–12+ years leading enterprise strategy, enterprise portfolio management, program management, business transformation, data strategy, or enterprise planning.
Demonstrated success developing and executing enterprise strategies spanning multiple business functions.
Experience advising executives and facilitating strategic planning.
Experience leading complex cross-functional enterprise initiatives without direct authority.
Experience developing enterprise roadmaps, investment plans, business cases, and executive recommendations.
Experience with enterprise operating models, organizational change, and strategic planning.
Strong understanding of enterprise data management, analytics, governance, cloud technologies, and AI enablement.

Nice To Haves

Master’s degree in a relevant discipline.
Experience in a highly regulated data environment, such as healthcare, higher education, financial services, consulting, or enterprise transformation organizations.
One or more of the following certifications are highly desired: PMP, PgMP, CDMP, IAPP (CIPP, CIPT, CIPM, AIGP), SAFe, or Lean Six Sigma.

Responsibilities

Develop, implement, and continuously evolve the Enterprise Data Strategy and multi-year roadmap, aligning data capabilities and investments with organizational priorities, technology modernization, analytics, AI, and business objectives.
Identify and advance enterprise capabilities for data products, analytics maturity, responsible AI, information management, and other strategic uses of organizational data.
Lead strategic planning for enterprise data initiatives, including business cases, investment recommendations, sequencing, dependency management, resource considerations, organizational readiness, and risk.
Establish measurable outcomes, KPIs, and value-realization measures to evaluate progress and inform investment and prioritization decisions.
Lead complex cross-functional data programs from strategy through implementation, establishing program structures, decision frameworks, milestones, dependencies, risks, and accountability.
Drive organizational adoption through stakeholder engagement, communications, readiness planning, and change-management activities that embed Data by Design and data-driven decision-making into enterprise practices.
Partner with executives, business leaders, Enterprise Architecture, Data Governance, Analytics, Product Management, and technology teams to translate organizational priorities into data capabilities and initiatives.
Identify opportunities to use trusted data, analytics, automation, and AI to improve business performance and support enterprise transformation.
Develop executive presentations, strategic recommendations, maturity assessments, roadmaps, and KPI reporting.
Communicate progress, risks, investment recommendations, and business value realization to executive leadership and governance councils.
Evaluate emerging data, analytics, AI, technology, and industry trends to identify implications and opportunities.
Recommend adjustments to enterprise strategy, operating models, capabilities, and investment priorities to keep the organization’s data approach relevant, sustainable, and aligned with evolving business needs.