Data Spoke Technical Lead

Role Description

Client is seeking an experienced Data Spoke Technical Lead to support the People Data domain within a federated enterprise data organization. This role will serve as the primary liaison between business stakeholders, IT, data engineering, and data governance teams, ensuring successful delivery of People Data initiatives while driving governance adoption and technical alignment. This is primarily a technical leadership and coordination role (70%), with a focus on governance execution (20%) and limited hands-on technical support (10%).

Responsibilities

• Data Spoke Leadership & Delivery
  • Support execution of the People Data roadmap and priorities.
  • Manage intake, triage, prioritization, and tracking of data-related work requests.
  • Maintain and govern backlogs, ensuring alignment with business priorities and enterprise strategy.
  • Coordinate across business, IT, data engineering, and governance stakeholders.
  • Facilitate Agile ceremonies including backlog reviews, sprint planning, and status updates.
  • Provide visibility into delivery progress, risks, and dependencies.
• Data Governance
  • Drive adoption of governance practices within the People domain.
  • Support metadata management, data ownership, stewardship, classification, and retention activities.
  • Partner with Data Owners and Data Stewards to execute governance responsibilities.
  • Monitor and report on governance and data quality KPIs.
• Technical Leadership
  • Provide technical leadership for People Data solutions and assets.
  • Support SQL-based data modeling, including dimensional modeling and Slowly Changing Dimensions (SCD).
  • Guide data pipeline and integration initiatives using Azure Data Factory or similar technologies.
  • Support data warehouse and semantic model design.
  • Assist with troubleshooting and solution design in partnership with engineering teams.
  • Contribute to DevOps processes including backlog management, epics, and user stories.

Qualifications

• 10+ years of experience in Data Management, Data Engineering, Analytics, or Business Intelligence.
• Experience working within enterprise data governance frameworks.
• Proven experience leading or supporting a data domain or business-facing data function.
• Strong experience operating within a hub-and-spoke or federated data model.
• Demonstrated success coordinating across business, IT, data engineering, and governance teams.
• Advanced SQL and data modeling expertise, including dimensional modeling and SCD concepts.
• Experience with data pipelines and ingestion frameworks such as Azure Data Factory or equivalent.
• Experience with data warehouse and semantic model design.
• Strong stakeholder management, communication, and delivery coordination skills.
• Experience with Agile delivery methodologies and DevOps backlog management.

Preferred Qualifications

• Experience supporting HR, People, Workforce, or Human Capital data domains.
• Experience with Power BI, including data modeling, DAX, and reporting.
• Familiarity with Azure Databricks and the broader Azure Data Platform ecosystem.
• Working knowledge of C# or similar programming languages.
• Experience with Collibra or other metadata management and data catalog tools.
• Experience implementing data ownership, stewardship, and governance operating models.
• Master's degree in Information Systems, Computer Science, Data Analytics, or a related discipline.