Data Delivery Director

We are seeking a seasoned Delivery Director with strong expertise in Data Software Engineering and deep Retail/CPG/MFG domain experience. This role is responsible for leading large, enterprise-scale data engineering programs, owning delivery across managed services and fixed-price engagements. The candidate will act as a trusted partner to senior Retail and CPG clients, driving data-led business outcomes across merchandising, supply chain, customer and digital commerce domains. Responsibilities Lead and govern large-scale Retail & CPG data engineering and analytics programs across multiple portfolios Own end-to-end program delivery, including scope, timelines, quality, risk, financials and margins Build, scale and manage global delivery teams of 200+ data engineers, architects and delivery leaders Drive delivery excellence across managed services, fixed-price and outcome-based engagement models Establish strong program governance, delivery KPIs, SLAs and operational metrics Act as the primary client-facing delivery leader, engaging with CXOs, Retail IT leaders and business stakeholders Ensure alignment between data architecture, engineering execution and Retail business objectives Proactively manage risks, dependencies, escalations and stakeholder expectations across large programs Translate Retail business needs into scalable data engineering solutions across merchandising, supply chain, inventory, demand forecasting, customer, loyalty, omnichannel commerce, pricing, promotions and store operations Partner with sales and presales teams to shape delivery strategies for large Retail & CPG deals Engage confidently in architecture and design discussions with engineering and platform teams Mentor senior leaders and build high-performing, domain-focused delivery organizations Requirements 20+ years of overall IT experience with 10+ years in senior leadership roles Expertise in Data Software Engineering and enterprise data platforms Proficiency in PySpark, Python-based data engineering and SQL Skills in Databricks, Lakehouse architectures and Snowflake Background in Power BI, analytical and reporting solutions including AIML Knowledge of open-source data frameworks, distributed processing technologies and large-scale analytical data processing Hands-on exposure to AWS and Azure cloud platforms in large Retail data environments Understanding of batch and streaming pipelines, data quality, performance optimization and Data governance Demonstrated success leading large enterprise delivery engagements with full delivery and financial ownership Competency in P&L, Margins and Utilization Extensive experience in managed services transitions, stabilization and steady-state delivery alongside fixed-price and milestone-based delivery models Active involvement in presales, RFP/RFI responses and large deal pursuits, defining delivery models, estimates, staffing plans and risk mitigation strategies