Sr Manager/Manager - Impact Measurement (Accelerate,LiftOff)
- Compensation
- Not disclosed
- Location
- Bangalore, India
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Not specified
- Posted
Skills
Must have
- Master’s degree in business, Public Policy, Economics, Development, Statistics, or a related field preferred
- 6–10 years of progressive experience in impact measurement, operations, analytics, consulting or program management
- Demonstrated experience designing and running scalable systems to measure the impact of advisory interventions on startups/ SMBs performance and revenue growth
Full description
About the Role:
We are seeking a Sr Manager/ Manager – Impact (Accelerate &
LiftOff) initiative, which supports startups & SMBs through hybrid and
platform-led interventions.
This role is critical to ensuring that Accelerate & LiftOff’s
outcomes, such as business growth, job creation and operational maturity, are
measured in a way that balances rigor, scalability and practicality. The role
will work closely with program leadership, platform, analytics teams and
external agencies to ensure that the impact systems remain trusted, auditable,
and decision relevant as the programs scale.
**Key Responsibilities1. Lead
Impact Operations for Accelerate & LiftOff**
- Own the
end-to-end MEL agenda for India’s Accelerate & LiftOff initiative
- Operationalize
outcome frameworks covering business growth, job creation and enterprise
maturity
- Partner
closely with Accelerate & LiftOff program leadership to align impact
measurement with strategic priorities
- Ensure
Impact data is timely, accurate and decision-useful for reviews and planning
- Proactively
identify risks in outcome reporting
**2. Measurement
Execution & System Management**
- Manage
baseline, in-journey, end-line and outcomes tracking across cohorts, portfolios
and delivery models
- Design and
implement low-friction data collection mechanisms suitable for founders and SMB
operators
- Coordinate
with internal engineering teams and external research or validation partners
- Ensure data
pipelines are robust, consistent and audit-ready
**3. Data
Quality, Quality Assurance & Risk Governance**
- Establish
and run Quality Assurance protocols on outcomes data
- Identify
and mitigate risks that may arise during program operations
- Build early
warning indicators for response drop-offs, quality degradation or system
failures