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Cluster Manager - Technology as a Business/Senior Cluster Manager - Technology as a Business

Cluster Manager - Technology as a Business/Senior Cluster Manager - Technology as a Business

BAJAJ FINSERV HEALTH
8-12 Years
Not Disclosed

This job is no longer accepting applications

Job Description

Location Name: Pune Corporate Office - Mantri

Job Purpose

The Sr. Manager – PMO will be part of the Technology as Business unit, a high impact engineering organization that has delivered platforms at massive scale (60M+ app downloads, 96B+ API transactions) with omni channel presence across Android, iOS, and Web.

This role operates in a POD-based, product engineering environment, with ownership of delivery governance across multiple products and programs, ensuring seamless execution across Product (PMG), Engineering (PDG), QA, and Support (SSG) teams.

The Sr. Manager PMO is responsible for driving delivery execution, governance frameworks, stakeholder alignment, and program-level tracking, ensuring high-quality, timely, and scalable product delivery in a fast-paced environment.

The role will manage a team of Business Analysts / PMO members and ensure end-to-end delivery visibility, risk management, and execution discipline across all PODs and projects.

Duties And Responsibilities

  • ā€ƒEnd-to-End Delivery Ownership (CRITICAL)
  • ā€ƒOwn delivery lifecycle across multiple projects/products from requirement inception to production rollout
  • ā€ƒDrive program-level planning, execution tracking, and milestone governance
  • ā€ƒEnsure alignment across multiple PODs and cross-functional teams
  • ā€ƒAct as single point of accountability for delivery governance across business lines
  • ā€ƒDrive closure of risks, delays, and dependencies at scale
  • ā€ƒDelivery Governance & Tracking
  • ā€ƒDefine and manage:

oā€ƒDelivery governance framework

oā€ƒTracking mechanisms (dashboard, reports, KPIs)

  • ā€ƒTrack across:

oā€ƒSprint progress across PODs

oā€ƒDelivery milestones

oā€ƒRisks and dependencies

  • ā€ƒConduct:

oā€ƒWeekly governance reviews

oā€ƒLeadership reporting

  • ā€ƒEnsure real-time visibility of delivery status across all projects
  • ā€ƒStandardize project tracking, reporting formats, and execution discipline
  • ā€ƒStakeholder Communication
  • ā€ƒAct as the central communication bridge between:

oā€ƒPMG (Product)

oā€ƒPDG (Engineering)

oā€ƒQA / DevOps

oā€ƒBusiness stakeholders

  • ā€ƒEnsure:

oā€ƒClear requirement communication

oā€ƒNo ambiguity in delivery expectations

oā€ƒTimely escalation of issues

  • ā€ƒManage communication at senior leadership level
  • ā€ƒExecution Discipline
  • ā€ƒEnsure adherence to:

oā€ƒAgile practices

oā€ƒDelivery timelines

oā€ƒDefined scope and commitments

  • ā€ƒDrive teams toward:

oā€ƒClosure

oā€ƒAccountability

oā€ƒOutcome-based delivery

  • ā€ƒEnsure no slippage without visibility and mitigation
  • ā€ƒProgram & Dependency Management
  • ā€ƒIdentify and manage:

oā€ƒCross-POD dependencies

oā€ƒSystem-level dependencies

  • ā€ƒEnsure coordination across:

oā€ƒMultiple products

oā€ƒIntegration points

  • ā€ƒDrive structured planning to avoid delivery bottlenecks
  • ā€ƒTeam Leadership & Capability Building
  • ā€ƒManage team of Business Analysts / PMO members
  • ā€ƒAllocate work across projects and PODs
  • ā€ƒMentor team on:

oā€ƒDelivery execution

oā€ƒStakeholder handling

oā€ƒRisk management

  • ā€ƒBuild strong execution-driven PMO capability
  • ā€ƒProcess Standardization & Continuous Improvement
  • ā€ƒDefine and implement:

oā€ƒPMO processes

oā€ƒDelivery frameworks

  • ā€ƒDrive:

oā€ƒStandardization of execution practices

oā€ƒImprovement in delivery timelines

  • ā€ƒEnsure continuous improvement in:

oā€ƒVisibility

oā€ƒReporting

oā€ƒEfficiency

  • ā€ƒInnovation & AI Awareness
  • ā€ƒIdentify opportunities to:

oā€ƒImprove tracking and reporting using tools

oā€ƒAutomate delivery workflows

  • ā€ƒEncourage adoption of:

oā€ƒAI-based tracking insights

oā€ƒProcess automation tools

  • ā€ƒImprove efficiency and productivity across programs

Key Decisions / Dimensions


  • ā€ƒPrioritization of deliveries based on business impact and feasibility
  • ā€ƒEscalation and resolution of delivery risks and blockers
  • ā€ƒTrade-offs between:

oā€ƒScope vs timelines

oā€ƒDelivery speed vs completeness

  • ā€ƒDefining delivery governance frameworks and tracking standards
  • ā€ƒDriving go/no-go decisions based on readiness and alignment

Major Challenges


  • ā€ƒManaging delivery across multiple products, PODs, and business units
  • ā€ƒHandling high volume of dependencies and cross-team coordination
  • ā€ƒEnsuring alignment between business and engineering execution
  • ā€ƒDriving delivery under tight timelines and evolving requirements
  • ā€ƒMaintaining visibility across multiple parallel deliveries
  • ā€ƒManaging stakeholder expectations at multiple levels
  • ā€ƒBalancing speed, execution quality, and governance discipline

Required Qualifications And Experience


  • ā€ƒQualifications

oā€ƒBachelor's degree in Engineering / Technology

oā€ƒPreferred: Computer Science / IT

  • ā€ƒShould have 1– 5 years of mobile/digital domain experience
  • ā€ƒPrior & relevant experience in Mobile Apps domain across multiple operating systems
  • ā€ƒWork Experience
  • ā€ƒ8–12 years in Business Analysis / PMO / Delivery roles
  • ā€ƒMinimum 2–3 years in team management / program management role
  • ā€ƒStrong experience in:

oā€ƒDelivery tracking

oā€ƒStakeholder management

oā€ƒProject execution

  • ā€ƒExperience in:

oā€ƒAgile / DevOps environments

oā€ƒProduct / digital organizations

  • ā€ƒSkills Keywords
  • ā€ƒDelivery management
  • ā€ƒProgram management
  • ā€ƒStakeholder management
  • ā€ƒAgile / Scrum
  • ā€ƒDependency management
  • ā€ƒRisk tracking
  • ā€ƒCommunication & escalation
  • ā€ƒProject planning & governance
  • ā€ƒExecution discipline
  • ā€ƒCross-team coordination
  • ā€ƒAI / Innovation Awareness
  • ā€ƒAwareness of AI usage in:
  • ā€ƒRequirement analysis
  • ā€ƒProduct insights
  • ā€ƒAutomation of workflows
  • ā€ƒDelivery insights
  • ā€ƒAbility to identify areas where AI can improve product efficiency
  • ā€ƒSoft Skills
  • ā€ƒStrong leadership and team management
  • ā€ƒExcellent communication and stakeholder handling
  • ā€ƒHigh ownership and accountability
  • ā€ƒAbility to work under pressure
  • ā€ƒStrong execution and closure mindset
  • ā€ƒProblem-solving ability and decision-making
  • ā€ƒSelf-driven and proactive individual
  • ā€ƒStrong execution focus in high-performance environments
  • ā€ƒStrong analytical and problem-solving ability






































More Info

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Key Skills

Project planning governance

Delivery insights

Automation of workflows

Risk tracking

AI Innovation Awareness

Communication escalation

Execution discipline

Cross-team coordination