Senior Solution Director

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.

• Farming existing accounts for AI and Data Opportunities and improving repeat business value at 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

Support 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.

• 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 [Insert relevant industry, e.g., Banking, Healthcare, Retail].

Other Requirements

• 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.