The Role
Leads data architecture, measurement design, monitoring, dashboards, validation, reconciliation, privacy, access control, lineage, and executive reporting for public-sector AI engagements. Establishes reusable architectures and indicator frameworks, ensures systems remain trustworthy after launch, and mentors analysts. Requires substantial data engineering or analytics experience, government programme exposure, production SQL and Python, cloud platform ownership, and the ability to defend metrics with senior decision-makers.
Summary Generated by Built In
Position: Senior Manager, Data & Measurement
Location: Delhi, India. Hybrid.
Position type: Full time, permanent
Reports to CEO (interim)
Start date 1 October 2026
Travel Up to 10%
Employing entity Athena Infonomics India Pvt Ltd
About Us
APLYD helps governments, multilateral institutions, development finance institutions and foundations use AI in public systems. Most public-sector AI stops at the pilot. Our work is getting it into everyday service delivery and keeping it running once we leave.
Athena Infonomics has done this work for years. In 2026 we set it up as its own company. We cover strategy and readiness, field data and last-mile reach, design and build, evaluation and audit, and scale and production.
440+ engagements · 240+ global clients · 85+ specialists · 7 countries · 5 continents
Core Job Responsibilities
1. Design the data architecture on our engagements. Which warehouse or lakehouse pattern, how the model layer is structured, how government data gets in and gets reconciled. You will rarely start from a blank page. Most institutions already have infrastructure, a procurement rulebook and a schema someone chose eight years ago, and your design has to survive all three.
2. Decide what gets measured before anything ships. Baselines, indicators, and performance reported by subgroup rather than as one headline number.
3. Watch systems once they are live. Drift, override rates, users abandoning the tool. Raise it with the programme lead before the client raises it with you.
4. Build the dashboards officials open on their own. If a counterpart is not using it in their own review meeting three months later, it did not work.
5. Keep the data trustworthy and the paperwork honest: validation, reconciliation against government systems, access control, privacy and consent handling, and lineage records that hold up in an audit.
6. Write the briefs. Two pages a senior official can act on when you are not there to explain them.
7. Turn what you learn into reference architectures and indicator definitions the next engagement can start from.
8. Mentor the analysts and set the standard they work to.
Qualifications and Competencies
• 10+ years in data engineering, analytics or programme measurement. At least three of those working with a ministry, state department or national programme.
• Enough architecture depth to choose between warehouse and lakehouse patterns, specify the design, and tell when a vendor is selling you something expensive. You do not have to have built one single-handed.
• SQL and Python at production standard. One cloud data platform you have owned end to end, plus orchestration and transformation tooling.
• An indicator framework you designed that a government adopted. Proposed does not count.
• You can sit in front of senior decision-makers and defend a number when they push back.
Also useful, though we will not screen on it:
• A warehouse or lakehouse you designed or led the build of that went into production.
• Monitoring machine learning systems once they are running.
• More than one sector behind you.
• Consent, privacy and data protection practice for public data in India.
• Reporting into multilateral or development finance institution requirements.
Additional Requirements
• This position requires successful completion of a reference check and employment verification.
• The successful candidate must not be subject to employment restrictions from a former employer, such as a non-compete, that would prevent performance of the responsibilities described.
• Candidates must declare any current or recent engagement with a government, multilateral or development finance institution that could present a conflict of interest.
APLYD’s Work Culture
At APLYD, we function in an outcomes-based work environment with flexible hours and a high level of autonomy. Professional development and thought leadership are key elements of our business model: we support our team members’ professional growth through on-the-job training, and we encourage the cultivation of our colleagues’ personal brands through participation in panels, events, publications, and other thought-leadership opportunities. We embrace a transparent, open work environment with meaningful leadership pathways for those with inventive ideas and initiatives.
APLYD is an Equal Opportunities Employer
APLYD, part of the Athena Infonomics group, is an equal opportunity employer with a commitment to diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
AI Proficiency and Responsible Use
Proficiency in the responsible and sophisticated use of AI is a mandatory requirement for all roles, across all levels and functions at APLYD and Athena Infonomics.
Skills Required
- 10+ years of experience in data engineering, analytics, or programme measurement
- At least three years working with a ministry, state department, or national programme
- Architecture expertise sufficient to choose and specify warehouse or lakehouse patterns and evaluate vendor proposals
- Production-standard SQL and Python skills
- End-to-end ownership of at least one cloud data platform
- Experience with data orchestration and transformation tooling
- Designed an indicator framework that was adopted by a government
- Ability to present and defend metrics to senior decision-makers
- Successful completion of reference checks and employment verification
- Must not have employment restrictions preventing performance of the role
- Must declare current or recent engagements that could create conflicts of interest
- Responsible and sophisticated use of AI
- Designed or led a warehouse or lakehouse build through production
- Experience monitoring machine learning systems in production
- Experience across more than one sector
- Consent, privacy, and data protection practice for public data in India
- Experience reporting against multilateral or development finance institution requirements
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The Company
What We Do
Athena Infonomics is a data-driven global consultancy and impact solutions group. The company applies social science research, data analytics, and technology to drive innovation in policy and practice, and to plan, implement, and monitor development interventions to advance global development.
