Product Manager Data Warehouse & Business Intelligence Job in Mahindra First Choice

Product Manager Data Warehouse & Business Intelligence

• Location: Bangalore
• Company: Mahindra First Choice

About Mahindra First Choice

Mahindra First Choice is a pioneer in India s multi-brand used car segment. With a strong focus on innovation, data-driven decision-making, and cutting-edge technology, we are transforming the automotive ecosystem and delivering seamless customer experiences. Our commitment to excellence fuels our drive to create scalable, impactful solutions across the value chain.

Role Overview

We are looking for a strategic and technically strong Product Manager to lead our Data Warehouse and Business Intelligence (BI) initiatives. Based in Bangalore, this role will own the vision, development, and optimization of enterprise-wide data products. You will play a critical role in enabling data-led decisions, working closely with engineering, analytics, and business teams to drive measurable outcomes.

Key Responsibilities

1. Product Strategy & Roadmap

• Define the vision, strategy, and long-term roadmap for Data Warehouse and BI products.
• Align product goals with overall business strategy through collaboration with senior leadership.
• Stay abreast of emerging technologies and industry trends to drive innovation in data architecture and analytics.

2. Development & Execution

• Partner with engineering, data science, and analytics teams to build scalable, high-performance data platforms.
• Prioritize product features and enhancements based on impact, feasibility, and business value.
• Lead cross-functional teams to ensure timely and efficient delivery of data solutions.

3. Business Intelligence & Analytics

• Oversee the development of interactive BI dashboards, reports, and self-service tools to empower business users.
• Collaborate with business stakeholders to identify critical metrics and create meaningful data visualizations.
• Champion data quality, consistency, governance, and accessibility across all platforms.

4. Stakeholder Management

• Serve as the single point of contact for data needs across Sales, Marketing, Operations, Finance, and other departments.
• Communicate roadmaps, progress updates, and outcomes clearly and effectively to stakeholders at all levels.
• Gather continuous feedback to refine products and enhance user experience.

5. Performance Monitoring & Optimization

• Define and track KPIs to assess product adoption, usage, and business impact.
• Analyze system performance and user engagement to identify areas for improvement.
• Drive initiatives to increase data platform efficiency and reliability.

Qualifications & Skills

Required

• Bachelor s degree in Computer Science, Engineering, Business, or a related field (Master s preferred).
• 7+ years of experience in product management, specifically in data warehousing, business intelligence, or analytics.
• Deep understanding of data architecture, ETL processes, and data modeling.
• Hands-on experience with BI tools like Tableau, Power BI, or Looker.
• Strong SQL skills and familiarity with cloud platforms (AWS, Azure, GCP).
• Proven track record of managing complex, cross-functional data projects in fast-paced environments.
• Ability to translate business needs into scalable, data-driven solutions.

Preferred

• Experience in automotive, mobility, or e-commerce domains.
• Familiarity with machine learning concepts and advanced analytics techniques.

Soft Skills

• Strong communication, presentation, and stakeholder engagement skills.
• Analytical mindset with a focus on delivering business value through data.
• Effective leadership and cross-functional collaboration.
• High attention to detail and ability to manage multiple priorities.

Why Join Us?

At Mahindra First Choice, you ll join a fast-growing, innovation-led organization at the forefront of transforming the used car market in India. This is a unique opportunity to shape our data landscape and make a real impact on business outcomes. If you're passionate about unlocking the power of data, we d love to meet you.