Delivery Lead; CPG​/Retail

Job Description

We are seeking an experienced Delivery Lead with a strong Data Engineering background to drive end-to-end delivery of data and analytics solutions within the Retail and Consumer Packaged Goods (CPG) domain.

The ideal candidate will combine technical expertise with strong leadership and client management skills to ensure successful execution of projects, alignment with business objectives, and high customer satisfaction.

• Lead and manage data engineering projects from initiation to deployment, ensuring timely and quality delivery.
• Coordinate cross-functional teams including data engineers, analysts, architects, and business stakeholders.
• Oversee project planning, resource allocation, risk management, and delivery governance.

• Provide architectural and technical guidance for data pipelines, data modeling, and ETL / ELT frameworks.
• Drive implementation of modern data platforms (cloud-based or hybrid) using tools such as Azure Data Factory, AWS Glue, Databricks, Snowflake, GCP Big Query, etc.
• Ensure adherence to best practices in data quality, governance, and security.

• Leverage deep understanding of Retail and CPG business processes such as sales analytics, supply chain, category management, trade promotions, and customer insights.
• Translate business needs into scalable data solutions that drive actionable insights and measurable value.

• Act as the primary contact for clients and senior stakeholders for project updates, escalations, and delivery milestones.
• Build strong relationships with business and technical teams to align project outcomes with organizational goals.

• Mentor and guide data engineering teams, fostering continuous learning and innovation.
• Encourage agile and Dev Ops practices within the delivery organization.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.

• 10+ years in Data Engineering / Data Platform delivery roles.
• 3–5 years in a Delivery Lead, Project Manager, or Engagement Manager capacity.
• Proven track record delivering large-scale data projects in Retail or CPG domains.

• Proficiency in modern data engineering tools and technologies (e.g., Python, SQL, Spark, Airflow, Databricks, Snowflake).
• Experience with one or more major cloud platforms (Azure, AWS, or GCP).
• Familiarity with data governance, MDM, data quality frameworks, and metadata management.

• Experience with data-driven transformation programs in Retail / CPG analytics.
• Exposure to AI / ML use cases and data product development.
• Certification in Agile / Scrum or PMP preferred.
• Cloud certifications (Azure Data Engineer, AWS Data Analytics, GCP Professional Data Engineer) are a plus.