SVP / Head – Enterprise Analytics & Decision Science

FatakPay; Mumbai; On-site; INR 4,000,000 - 9,000,000; Full time

Job summary

FatakPay Digital Private Ltd in Mumbai seeks a visionary SVP / Head of Enterprise Analytics & Decision Science to shape data strategy, drive analytics across lending, investments, and insurance, and lead cross-functional teams.

You will define roadmaps, establish data governance, and push AI/ML techniques while delivering scalable dashboards for senior leadership and operational efficiency.

Qualifications

• Strong expertise in enterprise analytics and decision science, including experience with credit risk modeling, portfolio analytics, and customer lifecycle analysis.
• Proficiency with data analytics tools and technologies (e.g., SQL, Python/R, BI tools, data warehousing platforms) and experience working with large-scale, complex data sets.
• Background in AI/ML methods such as predictive modeling, scoring, recommendation systems, and experimentation frameworks (A/B testing, uplift modeling).
• Proven ability to develop and execute data strategies, roadmaps, and governance frameworks that support business objectives and regulatory requirements.
• Demonstrated leadership experience managing analytics, data science, and BI teams with a collaborative management style.
• Strong stakeholder management and communication skills to translate insights for non-technical audiences.
• Experience in fintech or financial services data domains and familiarity with Indian regulatory data is advantageous.
• Advanced academic background in a quantitative field.

Responsibilities

• Define analytics roadmaps aligned with business strategy.
• Set data governance and quality standards across the enterprise.
• Drive experimentation, A/B testing and advanced analytics methods.
• Implement scalable reporting and dashboards for leadership and operational use.
• Manage and mentor cross-functional analytics teams and collaborate with product/tech/business stakeholders.

Skills

Enterprise analytics

Decision science

Leadership

Stakeholder management

Communication

Data-driven decision making

Education

Master’s degree or higher in a quantitative field

Tools

SQL

Python/R

BI tools

Data warehousing

Job description

Company Description FatakPay is India’s financial super app, trusted by over 50 million users nationwide for faster, simpler access to a wide range of financial products. From instant personal loans and a dedicated Credit Builder Program to digital gold investments, insurance, memberships, and referral rewards, users can manage their financial needs from a single, technology-led platform with minimal documentation and quick approvals. The company focuses on financial enablement and empowerment, giving users transparent tools to improve and control their financial future. As one of India’s fastest-growing fintech platforms, FatakPay is building a connected financial ecosystem and driving financial inclusion for millions of Indians.

Role Description The SVP / Head – Enterprise Analytics & Decision Science is a full-time, on-site leadership role based in Mumbai, responsible for shaping FatakPay’s data, analytics, and decision science strategy across the enterprise. This role oversees the design and implementation of advanced analytics frameworks, customer segmentation, and product performance analytics, ensuring data-driven decision-making for lending, investments, insurance, and user experience. The leader will manage and mentor cross-functional data and analytics teams, collaborate with product, technology, and business stakeholders, and translate complex insights into clear recommendations for senior leadership. Daily responsibilities include defining analytics roadmaps, setting data governance and quality standards, driving experimentation and A/B testing, and implementing scalable reporting and dashboards that support strategic initiatives and operational efficiency. The SVP / Head will also stay current on emerging analytics and AI/ML techniques to strengthen FatakPay’s competitive edge and support responsible, inclusive growth.

Qualifications

• Strong expertise in enterprise analytics and decision science, including experience with credit risk modeling, portfolio analytics, and customer lifecycle analysis.
• Proficiency with data analytics tools and technologies (e.g., SQL, Python/R, BI tools, data warehousing platforms) and experience working with large-scale, complex data sets.
• Background in AI/ML methods such as predictive modeling, scoring, recommendation systems, and experimentation frameworks (A/B testing, uplift modeling).
• Proven ability to develop and execute data strategies, roadmaps, and governance frameworks that support business objectives and regulatory requirements.
• Demonstrated leadership experience managing high-performing analytics, data science, and BI teams, with a collaborative and inclusive management style.
• Strong stakeholder management and communication skills, with the ability to translate analytical findings into actionable recommendations for non-technical audiences.
• Significant experience in fintech, financial services, consumer lending, or a related data-driven domain; exposure to Indian financial regulations and credit bureau data is advantageous.
• Advanced academic background such as a Master’s degree or higher in a quantitative field