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Program Lead

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Hybrid

Program Lead

Infosys BPM

Program Lead

5 days ago

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Important information


Contract type:

Permanent

Salary:

₹2,000,000 – ₹3,500,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

15 October 2026

What they need


Role & responsibilities

  • Own end-to-end delivery of AWS QuickSight dashboarding projects and BAU support. • Manage project plans, resources, risks, dependencies, budgets, and executive reporting. • Lead Agile delivery, sprint planning, prioritization, and release management. • Ensure SLA compliance across incidents, enhancements, access requests, and new initiatives. • Govern dashboard quality, performance, security, accessibility, and data governance standards. • Drive testing, deployment, production support, and continuous improvement. • Manage dashboard migrations, GenAI-enabled analytics initiatives, and user adoption programs. • Coordinate stakeholders across business, data, technology, UX, security, and vendor teams. • Provide leadership visibility through regular status, risk, and roadmap reporting.

Preferred candidate profile

  • 12+ years in program/delivery management for BI, analytics, or data platform environments. • 5+ years of direct hands-on or delivery-oversight experience with Amazon QuickSight (dashboard architecture, embedding, datasets, row-level security, SPICE). • 7+ years running tiered support models (incident through enhancement to net-new build). • 7+ years managing Agile delivery teams sprint planning, backlog prioritization, release management, QA governance. • Ability to translate technical issues into business impact, delivery risks, dependencies and remediation plans. • Strong stakeholder management across business, technology, risk, and security functions, ideally in a regulated/institutional environment. • Comfort working with governance frameworks — intake, prioritization, design authority, and risk/security review processes. • Good understanding of dashboard design principles, KPI visualization, usability and accessibility. • Strong knowledge of SQL and relational data concepts. • Familiarity with AWS analytics services and data sources, such as Amazon S3, Athena, Redshift, RDS and Glue.

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