Manager - Analytics @ Crompton

Crompton Greaves Consumer Electricals; Mumbai, Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Crompton Greaves Consumer Electricals is seeking a dynamic Manager Analytics Delivery to lead data, analytics, and AI initiatives across business functions. The role emphasizes business engagement, stakeholder management, and shaping an analytics/AI roadmap to deliver high-impact products.

You will own the end-to-end lifecycle, drive AI use cases like forecasting, anomaly detection, and Generative AI solutions, and collaborate with Data Platform & Architecture to ensure scalable,

Qualifications

• 8+ years of total experience in Data Analytics, BI, and AI/ML delivery, with leadership exposure.
• Proven track record of delivering AI/ML solutions in production environments.
• Experience in FMCG, Consumer Durables, or Manufacturing is preferred.

Responsibilities

• Own end-to-end analytics and AI product lifecycle from ideation to deployment and post go-live support.
• Translate business problems into measurable analytics/AI use cases with clear ROI.
• Lead a team of Data, BI, and AI/ML practitioners to build high-performance delivery capability.
• Provide architectural guidance on the analytics/AI stack and ensure scalable, secure solutions.

Skills

Data Analytics

Business Intelligence

AI/ML Delivery

Leadership

Stakeholder Management

Executive Communication

Tools

Microsoft Fabric

Power BI

Azure AI/ML services

Job description

We are looking for a dynamic and results-driven Manager Analytics Delivery to spearhead data, analytics, and AI initiatives across key business functions at Crompton. The core of this role lies in strong business engagement and stakeholder management acting as the strategic bridge between business leaders and technical execution. You will be responsible for understanding complex business challenges, shaping the analytics and AI roadmap, and ensuring successful delivery of high-impact data and AI products that drive measurable business outcomes.

Role & responsibilities

Business Engagement & Stakeholder Management

• Proactively engage with leaders to deeply understand their strategic priorities, operational challenges, and decision-making needs.
• Translate ambiguous business problems into clearly defined analytics and AI use cases with quantifiable value propositions.
• Champion a data-driven and AI-first culture by evangelizing the use of analytics and AI, conducting storytelling sessions, and showcasing wins to drive adoption.
• Establish robust governance forums (steering committees, working groups, reviews) to keep stakeholders informed and engaged throughout the delivery lifecycle.
• Continuously measure user adoption and business impact post-deployment, taking accountability for ROI realization.

Analytics & AI Delivery Management

• Take end-to-end ownership of the analytics and AI product lifecycle from ideation and requirements gathering to development, testing, deployment, and post go-live support.
• Identify, prioritize, and deliver AI/ML use cases such as forecasting, predictive analytics, recommendation engines, anomaly detection, and Generative AI based solutions that solve real business problems.
• Stay ahead of emerging trends in AI, Generative AI, and Agentic AI; evaluate and pilot new technologies that can create competitive advantage for Crompton.
• Develop robust project plans, manage delivery timelines, and ensure high-quality outputs using agile methodologies.
• Collaborate closely with the Data Platform & Architecture team to ensure solutions are scalable, secure, and aligned with enterprise data and AI governance standards.

Team Leadership

• Lead, mentor, and develop a team of Data, BI, and AI/ML practitioners to foster a high-performance delivery capability.
• Set clear goals, provide regular feedback, and build technical and functional capabilities within the team across analytics, BI, and AI/ML disciplines.

Technical Oversight

• Provide architectural and functional guidance leveraging Crompton's modern analytics and AI tech stack: Microsoft Fabric, Power BI and Azure AI/ML services.
• Ensure that BI dashboards, data models, and AI/ML solutions are built efficiently, are production-grade, and optimized for performance, scalability, and cost.

Preferred candidate profile

• 8+ years of total experience in Data Analytics, Business Intelligence, and AI/ML delivery, with at least 3+ years in a leadership or delivery management role.
• Demonstrated track record of delivering AI/ML solutions in production covering classical ML, predictive modelling, and ideally Generative AI use cases.
• Prior experience delivering enterprise analytics and AI solutions in FMCG, Consumer Durables, or Manufacturing sectors is preferred.
• Solid foundational knowledge of modern data and AI stacks. Hands-on experience or deep architectural understanding of Microsoft Fabric is highly preferred.

Soft Skills & Business Acumen

• Executive Communication: Ability to articulate complex technical and AI concepts in simple, business-friendly language and present confidently to senior leadership.
• Consultative Mindset: Strong ability to ask the right questions, listen actively, and uncover the "real" business problem beneath stated requirements.
• Business Acumen: Strong commercial awareness and the ability to connect analytics and AI initiatives to P&L impact, operational KPIs, and strategic business outcomes.
• Storytelling with Data: Ability to weave data and AI-driven insights into compelling narratives that drive action and decision-making at the leadership level.
• Ownership & Drive: A self-starter with a strong bias for action, accountability, and outcome orientation.
• Collaboration: Demonstrated ability to work cross-functionally and build trust-based relationships at all levels of the organization.
• Adaptability: Comfortable navigating ambiguity, shifting priorities, and a fast-paced environment