Data Delivery Director

EPAM Systems; Chennai District; On-site; INR 7,000,000 - 12,000,000; Full time

Job summary

EPAM Systems is seeking a seasoned Delivery Director to lead enterprise-scale data engineering programs in Retail/CPG/MFG, owning delivery across managed services and fixed-price engagements. You will partner with CXOs and business stakeholders to drive data-led outcomes across merchandising, supply chain and digital commerce.

The role requires 20+ years IT experience with 10+ years in senior leadership, hands-on cloud platform exposure, and a track record of delivering large, profitable

Qualifications

• 20+ years of 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.

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.

Skills

Data software engineering

PySpark

Python

SQL

Databricks

Lakehouse architectures

Snowflake

Power BI

AIML

AWS

Azure

Presales / RFP responses

Delivery leadership

P&L management

Global delivery leadership

Tools

Databricks

Snowflake

Power BI

AWS

Azure

Job description

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