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Own and drive a forward-deployed delivery portfolio across multiple lines of business, ensuring predictable execution, measurable outcomes, and scalable reuse of patterns on Databricks and Snowflake.
Set the delivery strategy and operating model for Forward Deployed Engineering in Hyderabad: engagement intake, prioritization, staffing, delivery governance, and continuous improvement.
Lead multi-functional programs that span product, platform, infrastructure, security, risk, legal, and compliance—navigating ambiguity and resolving dependencies to deliver at enterprise scale.
Establish platform-aligned reference architectures for lakehouse/warehouse solutions, including ingestion, transformation, semantic modeling, orchestration, testing, CI/CD, observability, and data product SLAs.
Drive privacy- and governance-by-design across all delivered solutions, partnering with stakeholders to ensure alignment with global privacy strategy and relevant firmwide initiatives (e.g., consent management, data retention, cross-border data transfer governance).
Oversee program execution rigor: manage risks, issues, controls, milestones, budget, vendor relationships, and delivery health across the book of work.
Develop and maintain metrics, KPIs, and dashboards that provide executive-level visibility into delivery status, platform adoption, operational health, incident trends, and compliance posture for deployed solutions.
Prepare and deliver executive communications (including Operating Committee-level updates) on outcomes, trade-offs, progress, risks, and investment needs.
Partner with product leadership to align forward-deployed engagements with strategic roadmaps, shaping platform capabilities and reusable accelerators based on field learnings.
Build and lead high-performing teams: hire, coach, and retain senior engineers; set technical and execution standards; and cultivate a culture of ownership, customer focus, and engineering excellence.