Technical Manager - Data

Role: Technical Manager - Data

Location: Dallas TX

FTE only

Technical Manager - Data

Role overview

We are looking for a Technical Manager(Data) to lead the data stream as its single point of accountability. The role combines hands-on knowledge of data modeling, Master Data Management (MDM) and data quality governance with team leadership and client engagement.

The person will guide the team on technical direction, speak with the client on technical matters, and coordinate across every vertical in the data stream so that it delivers as one team.

Key responsibilities

Technical leadership

• Data architecture direction, including conceptual, logical and physical data models.

• Master Data Management (MDM) design and delivery with MDL lead: golden record, match and merge rules, data stewardship workflows and hierarchy management.

• Define and enforce data quality standards, including profiling, validation rules, monitoring and remediation.

• Set up and run data governance with DQ Lead: data ownership, lineage, metadata and cataloging, and compliance with privacy and security rules.

• Work with BI Architect to review designs and key deliverables from engineering, BI and reporting teams for quality and consistency.

Team management

• Act as the single point of contact and accountability for the data stream.

• Lead and mentor a cross-functional team of data engineers, data modelers, BI developers, data quality analysts and architects.

• Plan sprints, allocate work, track progress and remove blockers.

• Manage resource planning, capacity and team performance.

Client engagement

• Serve as the main technical and delivery contact for the client on all data topics.

• Lead technical discussions, solution walkthroughs and design reviews with client stakeholders.

• Turn business needs into clear technical plans and explain trade-offs in simple terms.

• Report status, risks and dependencies to client and internal leadership.

Cross-vertical coordination

• Coordinate across all verticals in the data stream, such as data engineering, MDM, data quality and governance, BI and reporting, and platforms like Databricks.

• Align priorities and dependencies with other streams, such as AI and Automation and application teams.

• Make sure the stream delivers on scope, schedule, budget and quality.

Required skills and experience

• 12+ years in data management, data engineering or data architecture, with 6+ years managing data teams.

• Strong data modeling skills: dimensional modeling (star and snowflake schemas), normalized models and Data Vault, using tools such as Erwin or ER/Studio.

• Hands-on experience with MDM platforms such as Informatica MDM, Reltio, Profisee or similar.

• Solid knowledge of data quality and governance frameworks and tools, such as Collibra, Alation, Informatica DQ or Unity Catalog.

• Working knowledge of modern data platforms, such as Databricks, Snowflake, Azure or AWS, and of ETL/ELT pipelines.

• Good understanding of BI and reporting tools, such as Power BI or Tableau.

• Proven experience in client-facing roles, leading technical discussions with senior stakeholders.

• Experience running Agile delivery: sprint planning, backlog management and status reporting.

Preferred qualifications

• Healthcare or life sciences domain experience, including patient, provider, payer or product master data, and familiarity with HIPAA.

• Certifications such as CDMP (DAMA), Databricks Data Engineer or Architect, Snowflake, Azure or AWS data certifications.

• PMP, SAFe or Certified Scrum Master certification.

• Experience managing onshore and offshore teams.

• Exposure to data needs for AI and ML use cases.

Soft skills and education

• Clear, confident communication with both technical and business audiences.

• Strong stakeholder management and the ability to handle tough conversations with clients.

• Ownership mindset, with sound judgment when making decisions under pressure.

• Ability to bring multiple teams together and keep them aligned on shared goals.

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering or a related field.