Data Strategy Lead - Charlotte, NC | TCS Job

Must Have Technical/Functional Skills

Primary Skill: Data Strategy & Architecture 

Secondary: Global Payments Business Domain /Financial Services Expertise 

Experience: Minimum 10 years

Roles & Responsibilities

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. 

  

Key Responsibilities 

•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. 

•Portfolio Intake & Discovery 

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. 

•Delivery Outcome Tracking 

Monitor delivery outputs against strategic objectives using clear metrics; escalate misalignments and propose corrective actions to ensure predictable delivery. 

•Voice of Customer & Use Case Capture 

Engage with business, regulatory, and operational stakeholders to ensure strategy reflects real-world needs and drives measurable business value. 

•Integration with Enterprise Architects 

Partner with architects to enforce alignment with enterprise blueprints and standardized data design patterns; co-own pattern libraries and governance routines. 

•PI Planning & Inspect & Adapt 

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. 

•Data-as-Product Advocacy 

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. 

Salary Range- $110,000-$125,000 a year