Data Services Delivery Leader
Listed on 2026-08-04
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IT/Tech
IT Project Manager, Data Engineering
HCLTech is looking for a highly talented and self- motivated Data Services Delivery Leader to join it in advancing the technological world through innovation and creativity.
Job Title
:
Data Services Delivery (DSD) Leader
Job : 143691
Position Type: Full-time
Location: Onsite - 4 days (Jersey City, NJ / DFW, TX / Chicago, IL / Bay Area, CA)
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.
Role/ResponsibilitiesEnd-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 work streams.
- Farming existing accounts for AI and Data Opportunities and improving repeat business value at account level for Data & AI opportunities.
- 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.
- 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
- 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.
- 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.
- Implement and mature delivery frameworks (Agile/Scrum, ITIL, Dev Ops/Data Ops 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.
- 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:
- 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…
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