This role has closed. Infosys has taken the posting down.
hirly last saw it live on 30 September 2026. See similar open roles below, or browse all jobs in Bengaluru.
Infosys
Sr. Data Program Manager
Bangalore, India
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hirly's read of this role
- Role family
- Operations
- Seniority
- Lead / management
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 27 Sept 2026
Derived automatically from the posting.
the posting
We are looking for an experienced Data Program Manager to lead large-scale data transformation, analytics, data engineering, and cloud modernization programs across the organization. The ideal candidate will possess a strong blend of program management, stakeholder management, data strategy, and technical expertise to successfully drive enterprise data initiatives from planning through execution.
Responsibilities
Program Leadership
Lead end-to-end delivery of enterprise data and analytics programs.
Define program objectives, scope, milestones, roadmaps, and success metrics.
Manage multiple concurrent projects and ensure alignment with organizational priorities.
Develop and execute program plans, schedules, budgets, and resource allocation strategies.
Drive successful delivery while managing risks, dependencies, and change requests.
Technical requirements
Stakeholder Management
Partner with business stakeholders to understand strategic objectives and translate them into data initiatives.
Act as the primary liaison between business, technology, and executive leadership teams.
Present program updates, risks, and recommendations to senior leadership and steering committees.
Build strong relationships across cross-functional teams to ensure program success.
Additional responsibilities
Data & Technology Programs
Lead initiatives involving Data Engineering, Data Warehousing, BI & Analytics, Cloud Migration, AI/ML, and Data Governance.
Oversee the implementation of modern data platforms such as Databricks, Snowflake, Azure, AWS, and GCP.
Collaborate with architects and engineering teams on solution design and execution strategies.
Drive adoption of Data Lake, Lakehouse, Data Mesh, and Data Fabric architectures where applicable.
Education
MCA,MSc,Bachelor of Engineering,BBA,BCom,BCS