What are the responsibilities and job description for the Data Strategy Lead position at Stanley David and Associates?
Role :: Data Strategy Lead
Location :: Charlotte, NC
Type :: Fulltime
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; 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.
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.