Director, D&A Strategy

## Director, D&A Strategy Apply remote type:
Hybrid locations:
USA
- Pennsylvania
- North Wales (Upper Gwynedd):
USA
- New Jersey
- Rahwaytime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
July 30, 2026 (6 days left to apply) job requisition :
R408918
** Job Description
** The
** Data Strategy Leader
** will lead the development and execution of enterprise data strategy across priority data domains, ensuring data initiatives are directly aligned to enterprise priorities, measurable business outcomes, compliance expectations, and emerging AI needs. This leader will translate business goals into actionable data strategies, roadmaps, priorities, and value realization plans that improve data quality, interoperability, accessibility, reuse, and trust across the enterprise.

This role will serve as a strategic partner across business, technology, governance, stewardship, knowledge management, and solution delivery teams to define how enterprise data domains, data products, authoritative sources, and operating models should evolve to support scalable data and AI outcomes. The broader remit emphasizes aligning enterprise data domains, establishing authoritative sources, elevating literacy and governance, and accelerating data and AI outcomes through transparent catalogs, reusable components, and outcome-linked KPIs.
** Key Responsibilities
**** Enterprise Data Strategy & Roadmap
*** Translate enterprise and divisional priorities into a measurable data strategy, including clear objectives, roadmaps, value drivers, KPIs, and execution priorities.
* Align data initiatives with enterprise priorities and outcomes, ensuring investments in data capabilities are tied to measurable business, operational, compliance, and AI-enableable value.
* Prioritize high-impact data use cases and convert business goals into analyses, roadmap decisions, and value realization plans.
** Data Domains, Data Products & Authoritative Sources
*** Collaborate with Information Architecture to define clear enterprise data domains, sub-domains, data products, and accountable ownership structures.
* Partner with data domain leads and stakeholders to define data requirements, current/near/future state needs, product roadmaps, onboarding priorities, data quality rules, governance expectations, and access-control requirements.
** Standards, Quality, Interoperability & Lineage
*** Set expectations and strategic direction for data quality, interoperability, lineage, and reuse across enterprise data initiatives.
* Ensure data strategy informs governance design, stewardship delivery, knowledge management, and product/architecture strategy across the end-to-end CDAO operating model.
* Partner with data governance, stewardship, privacy, compliance, and knowledge management teams to ensure data strategies are trusted, compliant, and scalable.
** Data & AI Enablement
*** Ensure responsible, compliant use of data and AI by embedding strategy, standards, source-of-truth clarity, provenance, quality, and governance expectations into data initiatives.
* Support enterprise efforts to make high-quality data easier to discover, share, and use across the enterprise, including for AI-ready knowledge products and assets.
* Help prioritize use cases that accelerate data and AI outcomes while maintaining clarity, confidence, and compliance.
** Vendor, Contract & Sourcing Strategy
*** Partner with the Contract/Vendor Management Lead to create or align vendor management strategy for strategic data assets, data services, and external data needs.
* Provide strategic input into buy/build recommendations, vendor performance expectations, SLA management, compliance alignment, and ROI measurement.
** Leadership & Stakeholder Engagement
*** Act as a trusted strategic advisor to enterprise, divisional, and domain stakeholders on data strategy priorities, opportunities, tradeoffs, and execution paths.
* Drive alignment across data strategy, governance, stewardship, knowledge management, engineering, solution delivery, activation, and divisional teams.
* Build and mature the Data Strategy capability, including ways of working, priorities, operating rhythm, deliverables, and measurable outcomes. The Data Strategy area is described as having zero current headcount with a planned team buildout and immediate hiring needs.
** Required

Minimum Qualifications
*** Bachelor’s degree in business, accounting, life sciences, or related field required; advanced degree in business, sciences, or related discipline preferred.
* Minimum of 10 years of relevant experience, including experience in commercial roles or enterprise business environments.
* Significant experience leading enterprise data strategy, data governance, data management, data domains, data products, or related enterprise data transformation work.
* Demonstrated ability to translate business strategy into measurable data roadmaps, KPIs, value realization plans, and execution priorities.
* Strong understanding of data quality, metadata, lineage,…