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.
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 -
· 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
· Course correct interventions, when needed.
1. Programme and Fellow Management
· 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
· 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
· 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
· 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
· 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 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
· 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.
· Strong 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.
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.
Swaniti Initiative New Delhi, Delhi, IND Office
New Delhi, India
