Program Manager

Impetus; Bengaluru; On-site; INR 700,000 - 1,000,000; Full time

Job summary

Impetus is seeking an accomplished Program Manager to lead large-scale IT services programs spanning cloud, data, platform, and enterprise applications in Bengaluru. This role carries end-to-end ownership of program outcomes, balancing hands-on delivery with strategic portfolio alignment across multiple engagements for internal stakeholders and clients.

The ideal candidate combines program governance with a product engineering mindset, collaborating with architects and engineering leads to

Responsibilities

• Own end-to-end delivery across scope, schedule, cost, and quality—consistently meeting client satisfaction and business outcome targets.
• Establish and govern Agile/hybrid program frameworks, metrics, and tooling (Jira, executive dashboards, status reporting) across multiple concurrent workstreams.
• Provide oversight across multi-vendor, cross-geography teams, ensuring consistent delivery standards and accountability.
• Apply a product development mindset to program delivery—thinking in terms of releases, technical debt, platform scalability, and long-term maintainability.
• Partner with architects and engineering leads to understand system design trade-offs (cloud infrastructure, data pipelines, integration architecture) well enough to make informed scope, sequencing, and risk calls.
• Own technical roadmap alignment—ensuring program plans reflect realistic engineering constraints (CI/CD maturity, environment readiness, tech debt, dependency mapping across microservices/platforms).
• Drive quality engineering practices across programs—test automation coverage, release readiness gates, defect leakage, and production stability metrics.
• Guide build‑vs‑buy and platform modernization decisions (e.g., cloud migration, data platform re-architecture) in collaboration with technical leadership.
• Champion DevOps and SDLC maturity—CI/CD pipelines, infrastructure‑as‑code (Terraform/CloudFormation), observability, and automated deployment practices across program teams.
• Maintain working fluency in the technology stacks in play (cloud platforms like AWS/Azure/GCP, data platforms like Snowflake/Databricks, integration/API layers) sufficient to challenge estimates, de‑risk technical dependencies, and speak credibly with client engineering teams.
• Drive strategic planning and portfolio prioritization, aligning programs with organizational goals and client transformation roadmaps.
• Act as a trusted advisor to senior leadership and clients, translating business objectives into executable, outcome‑driven program roadmaps.
• Shape enterprise‑scale program governance structures, risk management frameworks, and escalation mechanisms.
• Own financial governance across program budgeting, forecasting, revenue assurance, and margin optimization.
• Oversee contract execution, including SOW compliance, change management, commercial negotiations, and cross‑vendor dependencies.
• Own client communication at executive and steering committee levels—proactively managing expectations, risks, and escalations.
• Build and sustain trusted relationships with client and internal leadership, serving as the primary point of accountability for program health.
• Define and drive enterprise adoption of Generative AI for program governance, predictive risk analysis, intelligent status reporting, and data‑driven decision‑making across delivery portfolios.
• Evaluate and pilot AI‑assisted engineering tools (code generation, automated testing, agentic workflows) to improve delivery velocity and quality across programs.
• Establish responsible AI usage standards within program management practices and mentor delivery teams on effective, scaled adoption.
• Lead, mentor, and develop cross‑functional and matrixed delivery teams, fostering a high‑performance, accountable delivery culture.
• Build organizational capability by coaching program and project managers on governance best practices, technical literacy, and stakeholder management.

Job description

Program Manager – Job Description

We are seeking an accomplished Program Manager to lead large-scale, complex IT services programs spanning cloud, data, platform, and enterprise application landscapes. This role carries end-to-end ownership of program outcomes — balancing hands‑on delivery execution with strategic portfolio alignment across multiple concurrent engagements for internal stakeholders and external clients. The ideal candidate brings both program governance rigor and a product engineering mindset — understanding the technical architecture underneath delivery, not just the schedule on top of it.

Program Manager – Job Description

We are seeking an accomplished Program Manager to lead large-scale, complex IT services programs spanning cloud, data, platform, and enterprise application landscapes. This role carries end‑to‑end ownership of program outcomes — balancing hands‑on delivery execution with strategic portfolio alignment across multiple concurrent engagements for internal stakeholders and external clients. The ideal candidate brings both program governance rigor and a product engineering mindset — understanding the technical architecture underneath delivery, not just the schedule on top of it.

Key Responsibilities

Program Leadership & Delivery

• Own end‑to‑end delivery across scope, schedule, cost, and quality — consistently meeting client satisfaction and business outcome targets.
• Establish and govern Agile/hybrid program frameworks, metrics, and tooling (Jira, executive dashboards, status reporting) across multiple concurrent workstreams.
• Provide oversight across multi‑vendor, cross‑geography teams, ensuring consistent delivery standards and accountability.

Product & Technical Ownership

• Apply a product development mindset to program delivery — thinking in terms of releases, technical debt, platform scalability, and long‑term maintainability rather than just milestone dates.
• Partner with architects and engineering leads to understand system design trade‑offs (cloud infrastructure, data pipelines, integration architecture) well enough to make informed scope, sequencing, and risk calls.
• Own technical roadmap alignment — ensuring program plans reflect realistic engineering constraints (CI/CD maturity, environment readiness, tech debt, dependency mapping across microservices/platforms).
• Drive quality engineering practices across programs — test automation coverage, release readiness gates, defect leakage, and production stability metrics.
• Guide build‑vs‑buy and platform modernization decisions (e.g., cloud migration, data platform re‑architecture) in collaboration with technical leadership.
• Champion DevOps and SDLC maturity — CI/CD pipelines, infrastructure‑as‑code (Terraform/CloudFormation), observability, and automated deployment practices across program teams.
• Maintain working fluency in the technology stacks in play (cloud platforms like AWS/Azure/GCP, data platforms like Snowflake/Databricks, integration/API layers) sufficient to challenge estimates, de‑risk technical dependencies, and speak credibly with client engineering teams.

Strategic & Portfolio Management

• Drive strategic planning and portfolio prioritization, aligning programs with organizational goals and client transformation roadmaps.
• Act as a trusted advisor to senior leadership and clients, translating business objectives into executable, outcome‑driven program roadmaps.
• Shape enterprise‑scale program governance structures, risk management frameworks, and escalation mechanisms.

Financial & Commercial Governance

• Own financial governance across program budgeting, forecasting, revenue assurance, and margin optimization.
• Oversee contract execution, including SOW compliance, change management, commercial negotiations, and cross‑vendor dependencies.

Stakeholder & Client Management

• Own client communication at executive and steering committee levels — proactively managing expectations, risks, and escalations.
• Build and sustain trusted relationships with client and internal leadership, serving as the primary point of accountability for program health.

Generative AI & Innovation

• Define and drive enterprise adoption of Generative AI for program governance, predictive risk analysis, intelligent status reporting, and data‑driven decision‑making across delivery portfolios.
• Evaluate and pilot AI‑assisted engineering tools (code generation, automated testing, agentic workflows) to improve delivery velocity and quality across programs.
• Establish responsible AI usage standards within program management practices and mentor delivery teams on effective, scaled adoption.

Team Leadership

• Lead, mentor, and develop cross‑functional and matrixed delivery teams, fostering a high‑performance, accountable delivery culture.
• Build organizational capability by coaching program and project managers on governance best practices, technical literacy, and stakeholder management.