Unit Manager / Senior Unit Manager - Technology as a Business

Job Purpose


The Business Analyst 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 primary ownership of end-to-end delivery coordination, ensuring seamless execution across Product (PMG), Engineering (PDG), QA, and Support (SSG) teams.
The Business Analyst is responsible for driving requirement clarity, delivery tracking, stakeholder alignment, and execution governance, ensuring high-quality, timely, and scalable product delivery in a fast-paced environment.

Duties and Responsibilities


1.End-to-End Delivery Ownership (CRITICAL)

Own end-to-end delivery lifecycle from requirement inception to production rollout

Drive project planning, execution tracking, and milestone governance

Ensure clear communication and alignment across all stakeholders

Proactively identify risks, delays, and dependencies and drive resolution

Act as the single point of accountability for delivery coordination across PODs and teams

2.Delivery Governance Tracking

Maintain and track:
oSprint progress
oDelivery milestones
oRisk logs and dependency trackers

Drive daily/weekly governance reviews with stakeholders

Ensure transparent reporting to leadership on delivery status

Playing Scrum master role in the scrum master and performing daily stand-up and publishing the MOM and retrospection
3.Stakeholder Communication

Act as the central communication bridge between:
oBusiness teams
oEngineering teams
oQA and DevOps

Ensure:
oClear requirement communication
oNo ambiguity in delivery expectations
oTimely escalation of issues
4.Execution Discipline

Ensure adherence to:
oAgile practices
oDelivery timelines
oDefined scope

Push teams toward closure, not just discussion

Key Decisions / Dimensions

Prioritization of features and backlog based on delivery feasibility and business impact

Identification and escalation of delivery risks and blockers

Trade-offs between:
oScope vs timelines
oBusiness demand vs engineering capacity

Driving go/no-go readiness from a delivery and requirement clarity perspective
li Selecting execution approaches to meet deadlines while maintaining quality

Major Challenges

Managing delivery across multiple stakeholders, PODs, and business units simultaneously

Ensuring alignment between business expectations and engineering execution

Driving delivery in a high-speed, continuously evolving environment

Handling ambiguity in requirements while maintaining delivery timelines

Tracking dependencies across multiple systems and teams

Maintaining clear communication and transparency under pressure

Balancing speed, quality, and execution discipline

Required Qualifications and Experience


1.Qualifications
oBachelors degree in Engineering / Technology
oPreferred: Computer Science / IT

Should have 15 years of mobile/digital domain experience

Prior relevant experience in Mobile Apps domain across multiple operating systems
2.Work Experience

36 years of experience in Business Analysis / Product / Digital domain

Strong experience in:

Digital products (Mobile / Web)

Requirement gathering and documentation

Experience working in:
oAgile / DevOps environment
oFast-paced product organizations
3.Skills Keywords

Should have knowledge of system interfaces required for building apps

Demonstrated success achievement orientation.
li>Excellent communication skills.
li>Strong bias for action driving results in a high performance environment.
li>Excellent relationship skills.
li>Exceptionally high motivational levels and needs to be a self-starter.
li>Strong project execution and tracking capability
li>Experience managing multiple stakeholders and dependencies
li>Ability to drive closure and ensure accountability
Strong communication and escalation management
4.AI / Innovation Awareness

Awareness of AI usage in:
a.Requirement analysis
b.Product insights
c.Automation of workflows
li>Ability to identify areas where AI can improve product efficiency
5.Soft Skills

Strong analytical and problem-solving ability
li>Excellent communication and stakeholder management
li>High ownership and accountability mindset
li>Ability to work under pressure and tight timelines
li>Strong execution focus in high-performance environments
li>Self-driven and proactive individual