About the Programme

Supporting Parliamentarians
on Analysis and Research in the Constituency (SPARC) is a flagship program at Swaniti
Initiative. The SPARC program aims to improve economic and social outcomes in select
Parliamentary constituency by focusing on pointed interventions and leveraging
changes through the office of the Parliamentarian. We believe that working at
the constituency level allows for us to create sandboxes across the country for
developmental progress.

In 2026 we plan on
focusing on creating economic opportunities for last mile communities through
the use of AI. Select Parliamentarians will, through the support of a Fellow,
work with last mile communities such as SHGs, artisans and weavers, in order to
improve economic opportunities. The programme works with women’s Self-Help
Groups (SHGs) to help them use AI tools for their businesses, improve business
practices and access new opportunities.

The interventions will
focus on working with SHG women where we will identify points of entry for AI,
develop appropriate interventions, train local master trainers called AI
Saathis, track the use of AI tools and document the delta of impact that
will take place. The programme follows a common methodology across all
constituencies to ensure reliable and comparable findings. The intervention as
well as the documented takeaways from each intervention will be critical to the
success of the program.

About the Role

The Program Manager will
lead oversee the interventions of the SPARC-AI Fellows across selected
constituencies and will work with them to ensure that key metrics are met. The
role involves -

· Connecting
periodically with Fellows in order to assess how they are completing their
marked deliverables.

· Supporting
Fellows in order to complete program deliverables, including in areas of
documentation, guidance on how to develop interventions etc.

· Coordinating
with Hon’ble MP offices and government officials to ensure programs are
completed.

· Ensuring
the quality of research and documentation are
impact.

· When
appropriate, conduct field visits to understand where programs currently stand

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· Course
correct interventions, when needed.

Key Responsibilities

1. Programme and Fellow Management

· Detailing each phase of
the program which would include a constituency wise intervention timeline for
programs, deliverables expected and possible risks (based on geographies).

· Organise Fellow training
on field research,



surveys, data collection, AI tools, informed consent and
data protection.

· Track monthly
deliverables and support Fellows in resolving implementation challenges.

· Organise
expert training sessions and regular cohort reviews.

2. Research and Field Implementation

· Oversee the baseline
study in all constituencies, including surveys of SHG women, in-depth
interviews and consultations with relevant stakeholders.

· Ensure Fellows follow the
common sampling guide, questionnaire and data collection methods.

· Review baseline findings
and oversee the preparation of constituency-level diagnostic reports.

· Follow up and ensure the
completion of periodic documentation (including mid-term) and ensure accuracy
and detailing.

· Ensure
the findings inform the selection of suitable AI applications and training
priorities for each block.

· Oversee
limitations including in areas of data safety and security.

3. MP and Government Engagement

· Manage relationships with
participating Hon’ble MP offices and coordinate regular progress reviews.

· Support Fellows in
identifying focus blocks and obtaining the necessary support from district and
block officials and SHG federations.

· Ensure the programme
remains non-partisan and consistent across constituencies.

· Coordinate presentations
of programme findings to MP offices and, where appropriate, through district
level meetings.

· Ensure
handover arrangements are in place by Month 11 so that AI Saathis can continue
supporting women after the fellowship.

4. AI Training and
Roll-out

· Oversee the development
and local testing, along with short training videos and printed materials.

· Coordinate with the
relevant team to ensure AI tools are tested before they are introduced to SHG
women.

· Ensure Fellows train AI
Saathis to conduct hands-on sessions and support women in using AI tools
independently.

· Track
monthly SHG sessions and follow-up activities, including support for women who
face difficulties using the tools.

5. Monitoring, Research Quality and
Reporting

· Review Fellows’ weekly




updates and monthly monitoring reports to track participation, independent
usage, skills and changes in business practices.

· Ensure data quality
through questionnaire checks, back-checks and field-level verification.

· Maintain a programme-wide
dashboard showing implementation progress and SHGs requiring additional
support.

· Ensure problems are
addressed promptly, particularly recurring AI errors or SHGs showing low usage
for two consecutive months.

· Oversee household checks
of trained women during Months 8–10 to assess actual usage and changes in
business practices.

· Coordinate
the 20 constituency reports and the national report, State of Last-Mile AI
in India.

6. Ethics and Responsible AI

· Ensure Fellows and AI
Saathis follow informed-consent, confidentiality and data-protection requirements.

· Ensure women are advised
not to share Aadhaar numbers, bank details, PINs or OTPs with AI tools.

· Ensure AI-generated
financial information is checked and that errors or harmful responses are
reported and addressed.

· Ensure
no unauthorised promises are made regarding loans, grants or buyers.

Requirements

Qualifications and Experience

· 5 - 8 years of experience
in programme management, AI, development, livelihoods, governance, public
policy, digital tools or related fields.

· Familiarity with AI
tools, digital inclusion or technology-led development is highly desired

· Experience managing
teams, multi-location programmes or fellowships.

· Familiarity with SHG and
livelihood ecosystems

· Experience working with
government departments, district or block administrations, elected
representatives or community institutions.

· Understanding of field
research, sampling, data quality and monitoring systems.

· Robust writing,
analytical and reporting skills, with proficiency in spreadsheets.

· Fluency in English and
Hindi, and willingness to travel regularly to programme locations.

· Strong
organisational skills, sound judgement and a commitment to political
neutrality, data privacy and ethical programme delivery.

Ideal Candidate

A hands-on programme
manager who can manage multiple stakeholders and locations, support a
distributed team, solve field-level problems and ensure that programme results
are supported by credible evidence.

Application Deadline: Interested candidates are encouraged to apply by 10 November 2026.​

📌 Program Manager, SPARC-AI Fellows (New Delhi)
🏢 Important Business
📍 New Delhi