Senior Manager - Data Engineering
First seen by Alion on Sep 2, 2026.
Position : Senior Manager, Data & Measurement.
Team : Embedded AI Engineering; the Data & Measurement seat.
Level and grade : L5 Senior Manager on the Embedded AI Engineering band.
Position type : Full time, permanent.
Location : Delhi, India.
Hybrid.
Reports to : Chief Executive Officer.
Travel : Up to 10 percent.
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.
The Role :
Measurement sits with the engineers on the engagement, because it measures what they deliver.
You own the data architecture and the measurement on APLYD's engagements: what is measured before anything is delivered, what the dashboards report, and whether the figures stand up to review by senior officials.
Core Job Responsibilities :
- Own the data architecture on engagements.
- You set the warehouse or lakehouse pattern, the modelling and semantic layer, orchestration, and how government data is ingested, reconciled and versioned, working within the infrastructure, procurement rules and hosting constraints the institution already has.
- Define indicators and KPI frameworks for the programmes we support, reporting performance by population subgroup as well as in aggregate.
- Instrument deployed systems in production.
- Track drift, subgroup performance, override rates and drop-off, and report problems to the programme leader promptly.
- Build dashboards and decision interfaces that government counterparts use in their own review meetings.
- Own data quality: ingestion, validation, reconciliation against government systems, and documentation the institution can use to run the system after handover.
- Set data governance.
- Define access control, consent and privacy handling for public data, and keep lineage records that meet audit requirements.
- Write review notes and briefs that senior decision-makers can act on without further explanation.
- Build the reference architectures, indicator definitions and data quality rules that carry from one engagement to the next.
- Mentor analysts, set the data and analytics standard, and coordinate delivery with the engineering team.
Qualifications And Competencies :
- 10 or more years in data engineering, analytics or programme measurement, including at least three years working with a government counterpart such as a ministry, a state department or a national programme.
- Understanding of warehouse and lakehouse architecture sufficient to specify it, choose between patterns, and review an engineer's or vendor's design.
- SQL and Python to a production standard, orchestration and transformation tooling, and one cloud data platform managed end to end.
- An indicator or KPI framework you designed that was adopted at national or state level.
- Able to present to senior decision-makers in a government or multilateral institution and explain and justify a figure under questioning.
Also useful, though we will not screen on it :
- You have designed or led the build of a warehouse or lakehouse that went into production.
- Monitoring machine learning systems once they are running.
- Experience in more than one sector.
- Consent, privacy and data protection practice for public data in India.
- Reporting to 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.
Skills
Data Engineering, Data Management, Data Warehousing, DataLake, SQL, Python, Data Governance