Sr. Data Program Manager

Infosys; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Infosys in Bengaluru, Data Analytics Unit, seeks a seasoned program leader to drive end-to-end delivery of enterprise data and analytics initiatives. You will shape objectives, milestones, and governance to ensure strategic outcomes across multiple projects.

As a senior liaison, you will collaborate with architects and engineering teams to design and execute data platform strategies, including modern platforms such as Databricks, Snowflake, Azure, AWS, and GCP, while promoting data governance

Qualifications

• Bachelor's degree in engineering or business/computing disciplines.
• Experience leading enterprise data and analytics programs.
• Strong stakeholder management and cross-functional collaboration.

Responsibilities

• 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 align with organizational priorities.
• Develop and execute program plans, schedules, budgets, and resource allocation strategies.
• Drive successful delivery while managing risks, dependencies, and change requests.

Skills

Stakeholder Management

Program Leadership

Communication

Education

Bachelor of Engineering

BCS

BBA

BCom

MCA

MSc

Tools

DataStage

Job description

Educational Requirements

Bachelor of Engineering, BCS, BBA, BCom, MCA, MSc

Service Line

Data Analytics Unit

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.

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.

Technical and Professional 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.

Preferred Skills

• DataStage