Head, Data Systems

The Antara Foundation (TAF)

The Antara Foundation (TAF) envisions a world free from preventable health conditions for women and children. By partnering with governments and communities, TAF improves maternal and child health outcomes at scale. Currently, TAF operates across 8 districts, 38 blocks, 5,700 villages, impacting 20,000 Frontline Health Workers (FLWs) and reaching 379,000 women and 650,000 children.

For more details, visit: https://antarafoundation.org/

About the Role

Location: Delhi
Travel: Field visits required
Reports to: Chief Executive Officer

The Head, Data Systems will lead TAF’s data collection, analysis, and reporting initiatives. The role involves collaborating with program teams to measure impact, innovate monitoring tools, and contribute to program design. This position also requires leadership, technical expertise, and strategic insights.

Key Responsibilities

Program Monitoring

Lead a team to develop and manage frameworks for data collection, quality control, and reporting.
Identify and track indicators aligned with the Theory of Change.
Manage and innovate TAF’s monitoring systems, including transitioning to a new database.

Data-Driven Insights and Impact Analysis

Create program dashboards for real-time insights.
Provide data-driven recommendations to Program Directors for decision-making.
Distill program data for reports to donors and external stakeholders.

Strategic and Operational Leadership

Oversee the transition to and continuous improvement of the DBMS.
Collaborate with leadership to use data insights for decision-making and program strategy.
Represent TAF in external events and partnerships.

Team Management

Mentor and coach team members on data systems and processes.
Train program teams on data analysis and interpretation techniques.

Qualifications and Experience

Education:

Master’s in Public Health, Statistics, Economics, Development Studies, Population Studies, or related fields.

Experience:

8+ years in managing data systems in mid to large social sector organisations.
Experience in public health and program evaluations is preferred.

Skills:

Expertise in statistical tools like SPSS, STATA, NVivo, and data tools like ODK, PowerBi, and Google Data Studio.
Familiarity with theories like Logical Framework, Theory of Change, and Impact Evaluation.
Excellent communication skills for structured and impactful reporting.