Senior Project Manager – Data Engineering | Bangalore | Immediate Joiners Preferred

Senior Project Manager Data Engineering
About the Role
We are looking for an experienced Senior Project Manager Data Engineering to lead large-scale data, analytics, and digital transformation programs for retail and omnichannel businesses. The ideal candidate will possess strong project delivery expertise, stakeholder management capabilities, and a solid understanding of modern data platforms, cloud ecosystems, and enterprise transformation initiatives.
This role requires driving end-to-end program execution, managing cross-functional teams, ensuring governance and delivery excellence, and partnering with business and technology leaders to deliver measurable business outcomes.
Key Responsibilities
Program & Delivery Leadership
Own and drive end-to-end delivery of enterprise data engineering, analytics, and digital transformation initiatives.
Ensure successful execution of programs within agreed scope, timelines, budgets, quality standards, and business objectives.
Establish delivery governance frameworks, project plans, milestones, and performance metrics.
Manage dependencies, risks, issues, escalations, and mitigation plans proactively.
Stakeholder Management
Collaborate closely with business, product, architecture, engineering, analytics, and leadership teams.
Translate business priorities into actionable project roadmaps and execution plans.
Facilitate executive steering committee meetings, workshops, and governance reviews.
Provide regular status reporting, risk assessments, and strategic recommendations to senior stakeholders.
Retail & Business Alignment
Leverage strong understanding of retail and grocery business processes, including:
Store Operations
Merchandising
Pricing & Promotions
Inventory Management
Supply Chain & Fulfillment
Omnichannel Commerce
Customer Experience & Loyalty
Ensure technology solutions align with evolving business needs and strategic objectives.
Data & Technology Transformation
Lead data modernization, cloud migration, analytics, and digital transformation initiatives.
Work closely with data engineering and architecture teams to drive scalable and reliable data solutions.
Review high-level solution designs and ensure adherence to engineering, testing, deployment, and operational best practices.
Support technology roadmap planning, transformation assessments, and business value realization initiatives.
Team Leadership & Governance
Lead distributed, offshore, and cross-functional teams across multiple workstreams.
Drive accountability, delivery excellence, quality assurance, and continuous improvement.
Mentor project teams and build a high-performance delivery culture.
Ensure effective resource planning, utilization, and capacity management.
Required Qualifications
Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, or related discipline.
11-15 years of experience in Project Management, Program Management, IT Consulting, or Digital Transformation.
Proven track record of delivering large-scale Data Engineering, Analytics, Cloud, or Enterprise Technology programs.
Strong experience managing retail, grocery, or omnichannel transformation initiatives.
Demonstrated success managing complex programs involving multiple stakeholders, vendors, and technology teams.
Strong understanding of project management methodologies, governance models, and delivery frameworks.
Experience managing budgets, timelines, resource planning, risks, and stakeholder communications.
Technical Expertise
Good understanding of modern Data Engineering concepts and architectures.
Exposure to Databricks, Data Lakes, Data Warehousing, and Analytics platforms.
Familiarity with cloud platforms such as:
Microsoft Azure
AWS
Google Cloud Platform (GCP)
Understanding of:
Data Pipelines
ETL/ELT Frameworks
Data Governance
Data Quality
Business Intelligence & Reporting
Advanced Analytics Platforms
Note: Deep hands-on development expertise is not mandatory; however, the ability to understand and govern technical solutions is essential.
Preferred Experience
Experience working with leading Retail, Grocery, Ecommerce, or Consumer Goods organizations.
Exposure to Databricks-led data modernization and migration programs.
Experience managing cloud-based data platform implementations and transformation initiatives.
Background in consulting, digital transformation, or enterprise technology delivery environments.
PMP, Prince2, Scrum Master, SAFe, or Agile certifications will be an added advantage.

Work arrangement
No