Data Services Delivery Leader

Location: Onsite - 4 days (Jersey City, NJ / DFW, TX / Chicago, IL / Bay Area, CA)

About the Role

We are seeking an experienced Data Services Delivery (DSD) Leader to own the end-to-end delivery of data services, spanning both Application/Data Development and Production Support. This is a hybrid technical-managerial role for a leader who can balance hands-on technical credibility with large-scale program leadership. The ideal candidate has successfully run large, complex data programs, managed distributed delivery teams, and driven operational excellence across the full data lifecycle—from build to run.

Responsibilities

• End-to-End Delivery Ownership
  • Own and drive end-to-end data services delivery, covering both new development/enhancements and L1/L2/L3 production support for data platforms, pipelines, and integrations.
  • Act as the single point of accountability for delivery commitments, SLAs, and quality across the data services portfolio.
  • Define and implement delivery governance, ensuring predictable, high-quality outcomes across multiple concurrent workstreams.
  • Farm existing accounts for AI and Data Opportunities and improve repeat business value at the account level for Data & AI opportunities.
• Program & Stakeholder Leadership
  • Lead large, cross-functional data programs involving multiple teams, vendors, and stakeholders across geographies.
  • Partner with business, product, and engineering leadership to translate strategic priorities into delivery roadmaps.
  • Manage program-level risk, budget, resourcing, and executive reporting/status updates.
• Technical Leadership
  • Provide hands-on technical direction on data architecture, pipeline design, data quality frameworks, and modern data platforms (cloud data warehouses, ETL/ELT, orchestration tools, etc.).
  • Review and guide technical design decisions; ensure engineering best practices, scalability, and cost-efficiency.
  • Stay close enough to the technology to credibly engage in architecture discussions, troubleshoot escalations, and mentor technical teams.
  • Participate in technical solutioning for AI and Data opportunities, Solutions, and Accelerators.
• Operations Management
  • Own production support operations for data platforms—incident management, root cause analysis, problem management, and continuous service improvement.
  • Establish and monitor SLAs/OLAs, KPIs, and dashboards for support performance (MTTR, ticket volume, recurring issues, etc.).
  • Drive automation and self-healing initiatives to reduce manual support effort and improve system reliability.
• Team Leadership & Development
  • Build, lead, and mentor a team of technical leads, developers, and support engineers across development and support functions.
  • Foster a culture of ownership, continuous improvement, and technical excellence.
  • Manage staffing, performance, and capacity planning across development and support pods.
• Process & Governance
  • Implement and mature delivery frameworks (Agile/Scrum, ITIL, DevOps/DataOps practices) suited to a dual development + support model.
  • Drive continuous improvement in delivery processes, tooling, and documentation.
  • Ensure compliance with data governance, security, and regulatory requirements.

Requirements

• 15+ years of overall experience in data engineering/technology delivery, with 5+ years in a leadership role managing delivery and/or support teams.
• Proven experience leading large, complex data programs end-to-end (multi-team, multi-vendor, cross-geography).
• Strong technical background in data engineering—hands-on or recent hands-on experience with:
  • Data pipelines/ETL-ELT tools (e.g., Informatica, Talend, dbt, Airflow, ADF).
  • Cloud data platforms (e.g., Snowflake, Databricks, AWS Redshift, Azure Synapse, GCP BigQuery).
  • SQL and at least one programming language (Python, Scala, Java).
  • Data Governance, Data Management Services, Data modeling, Warehousing, and Integration Concepts.
• Demonstrated experience owning both delivery/development and production support functions.
• Strong experience with ITIL-based support models, incident/problem management, and SLA governance.
• Excellent stakeholder management skills—comfortable engaging with senior business and technology leadership.
• Experience with Agile/Scrum and DevOps/DataOps delivery practices.
• Strong people leadership experience—managing, mentoring, and growing technical teams (typically 20 - 1000+ FTEs, including onshore/offshore models).

Preferred Qualifications

• Experience in managed services / global delivery / shared services environment.
• Exposure to data governance, data quality, and metadata management frameworks.
• Relevant certifications (PMP, SAFe, ITIL, cloud platform certifications).
• Experience with FinOps/cost optimization for cloud data platforms.
• Prior experience in Banking, Healthcare, Retail, or other relevant industries.

Key Attributes

• Technical credibility—can go deep enough to challenge architecture and troubleshoot with the team, not just manage from a distance.
• Execution-focused—track record of delivering large programs on time, on budget, and at quality.
• Balances build and run—equally comfortable driving new development and stabilizing/operating live systems.
• Strong communicator—able to translate technical complexity into business impact for senior stakeholders.
• Calm under pressure—experienced in managing production incidents and escalations without losing sight of long-term delivery goals.

Pay

Pay Range Minimum: $155,000 per year
Pay Range Maximum: $263,000 per year

Benefits

• Medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance.
• Employee assistance program.
• 401(k) retirement plan.
• 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year).
• 10 paid holidays per year.
• Performance-based bonuses subject to company policies.