Project Objective The Program Manager will lead and govern complex data programs spanning data engineering, analytics, and data science initiatives. The role is focused on aligning cross-functional teams, managing dependencies, and ensuring delivery of scalable, high-quality data solutions.

Project Description

Key Responsibilities

Program & Delivery Management- (Remote) - Flexible with Client visiting when required.

- Own end-to-end delivery of data engineering and data science programs across multiple projects.
- Define program roadmap, milestones, timelines, and success metrics.
- Manage interdependencies between data pipelines, platforms, analytics, and ML initiatives.

Stakeholder & Governance
- Act as the primary interface between business stakeholders, data engineers, data scientists, analytics teams and leadership.
- Establish program governance, reporting cadence, and executive-level updates.
- Drive prioritization and scope alignment based on business value and technical feasibility.

Technical Coordination

- Work closely with data engineering teams on data ingestion, ETL/ELT pipelines, cloud data platforms, and data quality initiatives.
- Coordinate with data science teams on model development, experimentation, deployment, and monitoring.
- Ensure alignment between data availability, feature engineering, model timelines, and downstream analytics.

Risk,



Dependency & Quality Management
- Identify and mitigate risks related to data availability, performance, scalability, privacy, and security.
- Manage resource allocation, capacity planning, and delivery risks.
- Ensure adherence to data governance, compliance, and best practices.

Process & Continuous Improvement
- Drive Agile / hybrid delivery models (Scrum, Kanban, SAFe as applicable).
- Improve program execution through standardization, automation and metrics-driven decision-making.
- Capture lessons learned and institutionalized best practices across data programs.

Desired Profile

9-12 years of experience.

Candidate must have Retail or Analytics Industry is Must.

Required Skills: Robust understanding of:

Data engineering concepts (ETL/ELT, data lakes, warehouses, streaming)

Cloud platforms (AWS, Azure, GCP), Azure Mandatory

Analytics and BI ecosystems

Data science & ML lifecycle (experimentation to production)

Familiarity with data governance, data quality, and privacy frameworks.

Program Management Skills

Strong planning, dependency management, and risk mitigation skills.

Excellent communication with both technical and non-technical stakeholders.

Experience with Agile delivery, Jira, Confluence, or similar tools.

📌 Technical Program Manager | 3months Contract (India)
🏢 IndusGuru Network Partners
📍 India