Data Strategy Lead

Tata Consultancy Services; Charlotte (NC); On-site; USD 110,000 - 125,000; Full time

Job summary

Tata Consultancy Services is seeking a Data Strategy Lead / Data Product Manager to define and drive the strategic direction of a banking data domain. You will align with enterprise architecture, governance, and business priorities to enable Agile teams.

You will promote data-as-a-product, collaborate with enterprise architects, and support cloud modernization, data quality, and regulatory needs while delivering measurable business value.

Qualifications

• Data strategy, architecture, and governance experience in large enterprises.
• Banking/financial services domain knowledge and regulatory awareness.
• Minimum 10 years in data leadership, product, or architecture roles.

Responsibilities

• Domain Strategy & Roadmaps: Define and maintain the strategic vision for the data domain; co-develop roadmaps with delivery teams.
• Portfolio Intake & Discovery: Evaluate new demand during intake to identify opportunities for strategic execution; align with priorities.
• Delivery Outcome Tracking: Monitor delivery outputs against objectives; raise misalignments and propose corrective actions.
• Voice of Customer & Use Case Capture: Engage with stakeholders to ensure strategy reflects needs and drives value.
• Integration with Enterprise Architects: Partner with architects to align with blueprints; co-own pattern libraries and governance.
• PI Planning & Inspect & Adapt: Participate in PI Planning; incorporate audit learnings and incidents into strategy updates.
• Data-as-Product Advocacy: Promote data-as-a-product through models, APIs, and contracts; collaborate with product owners.

Skills

Data Strategy & Architecture

Global Payments Business Domain

Financial Services Expertise

Job description

Job Description

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; raise 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