Director - Product & Data Analytics

Credit Saison India

Bengaluru

On-site

INR 2,500,000 - 4,000,000

Full time

14 days+

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Job summary

A leading financial services company is seeking an AVP - Talent Acquisition with a focus on Data and Analytics. The ideal candidate will lead the strategic direction of data platforms, overseeing the execution of projects aligned with business goals. This role requires extensive experience in product management, expertise in cloud technologies, and strong leadership skills.

Qualifications

10+ years in product management with a focus on data platforms.
Experience with cloud technologies and data frameworks is essential.
Proven leadership and communication skills are crucial.

Responsibilities

Lead the strategic development of data platform initiatives.
Establish standards for planning, execution, and documentation.
Oversee integration of analytics and AI into data products.

Skills

Leadership

Product Management

Data Governance

Cloud Technologies

Agile Methodologies

Education

BTech and/or MBA from top-tier colleges

Tools

Tableau

Power BI

AWS

Azure

Hadoop

Spark

Kafka

Job description

Direct message the job poster from Credit Saison India

AVP - Talent Acquisiiton at Credit Saison India

About Credit Saison India

Established in 2019, CS India is one of the country’s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs. Its tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting India’s huge gap for credit, especially with underserved and under penetrated segments of the population.

Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs, households, individuals and more. CS India is registered with the Reserve Bank of India (RBI) and has an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings.

Currently, CS India has a branch network of 45 physical offices, 1.2 million active loans, an AUM of over US$1.5B and an employee base of about 1,000 people.

Credit Saison India (CS India) is part of Saison International, a global financial company with a mission to bring people, partners and technology together, creating resilient and innovative financial solutions for positive impact.

Across its business arms of lending and corporate venture capital, Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people.

Based in Singapore, over 1,000 employees work across Saison’s global operations spanning Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil.

Saison International is the international headquarters (IHQ) of Credit Saison Company Limited, founded in 1951 and one of Japan’s largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange. The Company has evolved from a credit-card issuer to a diversified financial services provider across payments, leasing, finance, real estate and entertainment.

Product Head for Data, Analytics and Platform - Director/Sr. Director

Role Overview:

The Product Head - Data and Analytics will lead the strategic development and execution of our data platform initiatives, ensuring they align with business goals and deliver measurable results. You will be responsible for defining product strategy, setting OKRs, and ensuring the successful execution of programs that drive the product roadmap. You will work cross-functionally with technical teams to integrate advanced analytics, machine learning, and AI capabilities into scalable data platforms.

Key Responsibilities:

Define and drive the strategic direction for data platforms, aligning technical initiatives with business goals and objectives.
Set clear OKRs (Objectives and Key Results) for data platform development and ensure alignment across all teams (engineering, data science, analytics, etc.).
Establish and enforce standards for planning, project management, execution, and documentation throughout the product lifecycle.
Lead the design and implementation of scalable data pipelines, data lakes, and real-time analytics architectures, ensuring robust performance, security, and compliance.
Collaborate with Data Science, Analytics, Platform, and AI teams to ensure seamless integration of machine learning models, predictive analytics, and AI technologies.
Set and maintain high standards for project management, ensuring initiatives are delivered on time, within scope, and on budget, using Agile methodologies.
Ensure thorough documentation of technical processes, product specifications, and architectural decisions to maintain transparency and scalability.
Implement strong data governance and security protocols, ensuring compliance with relevant data protection regulations (GDPR, CCPA).
Develop key performance metrics (KPIs) to assess the success of data products and continuously iterate for improvement.
Mentor and lead product managers and technical teams, instilling a culture of ownership, innovation, and excellence in execution.

Qualifications:

BTech and/or MBA from top-tier colleges (e.g., IITs, NITs, ISBs, IIMs, or equivalent).
10+ years of experience in product management, with a focus on building data platforms and integrating advanced analytics.
Proven track record in setting and executing strategic roadmaps, OKRs, and ensuring business alignment across teams.
Deep understanding of cloud technologies (e.g., AWS, Azure) and familiarity with data frameworks (Hadoop, Spark, Kafka).
Strong experience with data architectures (data lakes, data warehouses, NoSQL/SQL), data governance, and real-time data pipelines.
Experience in integrating AI/ML models into data products and driving business intelligence (BI) initiatives (e.g., Tableau, Power BI).
Solid program management expertise with the ability to lead cross-functional teams and deliver complex projects on schedule.
Proven ability to set and maintain standards for planning, project management, and documentation to ensure high-quality execution.
Knowledge of data governance frameworks and experience ensuring compliance with regulations like GDPR, CCPA.
Excellent leadership, communication, and interpersonal skills, with the ability to engage and align technical and business stakeholders.

Seniority level