Data Strategy Lead
Job in
Charlotte, Mecklenburg County, North Carolina, 28201, USA
Listed on 2026-08-05
Listing for:
Diverse Lynx
Full Time
position Listed on 2026-08-05
Job specializations:
-
IT/Tech
Job Description & How to Apply Below
Location: Charlotte, NC
Duration:
Fulltime
Skills:
Master Data governance
Salary: 110K-125K/Year
Roles and Responsibilities:
Must Have Technical/Functional Skills
- Primary Skill:
Data Strategy & Architecture - Secondary:
Global Payments Business Domain /Financial Services Expertise - Experience:
Minimum 10 years
- The Data Strategy Lead / Data Product Manager is accountable for defining and driving the strategic direction of a specific data domain or capability within banking domain. Acting as the strategic owner, this role ensures alignment with enterprise architecture, governance frameworks, and business priorities. It serves as a critical bridge between strategy and execution, empowering Agile delivery teams to build scalable, compliant, and high-quality data products that support business operations, regulatory obligations, and analytical needs.
- This role operates horizontally across delivery verticals, enabling consistent end-to-end data flow design patterns, reducing rework, and embedding modernization opportunities such as cloud migration, AI adoption, and data-as-a-product principles.
Domain Strategy & Roadmaps
- Define and maintain the strategic vision for the data domain, addressing current-state challenges, modernization opportunities, and simplification goals. Co-develop roadmaps with delivery teams to balance long-term direction and near-term execution.
- Evaluate new demand during intake to identify opportunities for strategic execution (e.g., governance, data quality, modernization). Influence scope and design decisions to align with enterprise priorities.
- Monitor delivery outputs against strategic objectives using clear metrics; escalate misalignments and propose corrective actions to ensure predictable delivery.
- Engage with business, regulatory, and operational stakeholders to ensure strategy reflects real-world needs and drives measurable business value.
- Partner with architects to enforce alignment with enterprise blueprints and standardized data design patterns; co-own pattern libraries and governance routines.
- Actively participate in PI Planning and Inspect & Adapt workshops. Incorporate audit learnings, production incident themes, and delivery retrospectives into strategy updates to strengthen governance and improve audit readiness.
- Promote treating data as a product through canonical models, reusable APIs, and shared contracts; collaborate with Agile Product Owners to embed these into team backlogs.
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