Program Manager SPARC-AI Fellows

Swaniti Global; India; Hybrid; INR 900,000 - 1,300,000; Full time

Job summary

Swaniti Initiative is seeking a hands-on Program Manager to lead SPARC-AI Fellows across selected constituencies. You will oversee multiple interventions, ensuring key metrics are met and maintain non-partisan, high-quality research and documentation.

You will coordinate with MPs and district officials, manage field activities, and guide Fellows in developing AI-enabled interventions for SHGs and women entrepreneurs across diverse geographies in India.

Qualifications

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

Responsibilities

• Connect with Fellows to assess deliverables and provide guidance.
• Support Fellows to complete program deliverables, including documentation and interventions.
• Coordinate with Hon’ble MP offices and government officials to ensure programs are completed.
• Ensure the quality of research and documentation and its impact.
• Conduct field visits to understand program status.
• Course-correct interventions when needed.

Skills

Programme management

AI

Governance

Team management

Documentation

Research

Tools

AI tools

Job description

Job Description:

About the Programme

Supporting Parliamentarianson Analysis and Research in the Constituency is a flagship program at SwanitiInitiative. The SPARC program aims to improve economic and social outcomes in selectParliamentary constituency by focusing on pointed interventions and leveragingchanges through the office of the Parliamentarian. We believe that working atthe constituency level allows for us to create sandboxes across the country fordevelopmental progress.

In 2026 we plan onfocusing on creating economic opportunities for last mile communities throughthe 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-HelpGroups (SHGs) to help them use AI tools for their businesses, improve businesspractices and access new opportunities.

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

About the Role

The Program Manager willlead oversee the interventions of the SPARC-AI Fellows across selectedconstituencies and will work with them to ensure that key metrics are met. Therole 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.
• Course correct interventions, when needed.

Key Responsibilities

1. Programme and Fellow Management

• Detailing each phase ofthe program which would include a constituency wise intervention timeline forprograms, deliverables expected and possible risks (based on geographies).
• Organise Fellow trainingon field research, surveys, data collection, AI tools, informed consent anddata protection.
• Track monthlydeliverables and support Fellows in resolving implementation challenges.
• Organiseexpert training sessions and regular cohort reviews.

2. Research and Field Implementation

• Oversee the baselinestudy in all constituencies, including surveys of SHG women, in-depthinterviews and consultations with relevant stakeholders.
• Ensure Fellows follow thecommon sampling guide, questionnaire and data collection methods.
• Review baseline findingsand oversee the preparation of constituency-level diagnostic reports.
• Follow up and ensure thecompletion of periodic documentation (including mid-term) and ensure accuracyand detailing.
• Ensure the findings inform the selection of suitable AI applications and trainingpriorities for each block.
• Overseelimitations including in areas of data safety and security.

3. MP and Government Engagement

• Manage relationships withparticipating Hon’ble MP offices and coordinate regular progress reviews.
• Support Fellows inidentifying focus blocks and obtaining the necessary support from district andblock officials and SHG federations.
• Ensure the programmeremains non-partisan and consistent across constituencies.
• Coordinate presentationsof programme findings to MP offices and, where appropriate, through districtlevel meetings.
• Ensurehandover arrangements are in place by Month 11 so that AI Saathis can continuesupporting women after the fellowship.

4. AI Training andRoll-out

• Oversee the developmentand local testing, along with short training videos and printed materials.
• Coordinate with therelevant team to ensure AI tools are tested before they are introduced to SHGwomen.
• Ensure Fellows train AISaathis to conduct hands-on sessions and support women in using AI tools independently.
• Trackmonthly SHG sessions and follow-up activities, including support for women whoface difficulties using the tools.

5. Monitoring, Research Quality andReporting

• Review Fellows’ weeklyupdates and monthly monitoring reports to track participation, independentusage, skills and changes in business practices.
• Ensure data qualitythrough questionnaire checks, back-checks and field-level verification.
• Maintain a programme-widedashboard showing implementation progress and SHGs requiring additionalsupport.
• Ensure problems areaddressed promptly, particularly recurring AI errors or SHGs showing low usagefor two consecutive months.
• Oversee household checksof trained women during Months 8–10 to assess actual usage and changes inbusiness practices.
• Coordinatethe 20 constituency reports and the national report, State of Last-Mile AIin India.

6. Ethics and Responsible AI

• Ensuring Fellows and AISaathis follow informed-consent, confidentiality and data-protection requirements.
• Ensuring women are advisednot to share Aadhaar numbers, bank details, PINs or OTPs with AI tools.
• Ensuring AI-generatedfinancial information is checked and that errors or harmful responses arereported and addressed.
• Ensureno unauthorised promises are made regarding loans, grants or buyers.

Requirements

Qualifications and Experience

• 5 - 8 years of experiencein programme management, AI, development, livelihoods, governance, publicpolicy, digital tools or related fields.
• Familiarity with AItools, digital inclusion or technology-led development is highly desired.
• Experience managingteams, multi-location programmes or fellowships.
• Familiarity with SHG andlivelihood ecosystems.
• Experience working withgovernment departments, district or block administrations, electedrepresentatives or community institutions.
• Understanding of fieldresearch, sampling, data quality and monitoring systems.
• Strong writing,analytical and reporting skills, with proficiency in spreadsheets.
• Fluency in English andHindi, and willingness to travel regularly to programme locations.
• Strongorganisational skills, sound judgement and a commitment to politicalneutrality, data privacy and ethical programme delivery.

Ideal Candidate

A hands-on programmemanager who can manage multiple stakeholders and locations, support adistributed team, solve field-level problems and ensure that programme resultsare supported by credible evidence.

Application Deadline

Interested candidates are encouraged to apply by 10 November 2026.

Requirements: