Data and Analytics - AI/ML - GO/JC/4867/2026

Job Title:

Head of Data \& Analytics – AI/ML

Job Location:

Pune / Bengaluru

Work Model:

Work from Office

Candidate Expectations

Total Experience And Relevant Experience

15\+ years of experience in Business Analytics, Data \& Analytics, Business Intelligence or related domains.

Strong experience in leading large-scale, cloud-based analytics projects and transformation initiatives.

Proven experience in AI/ML-driven business transformation and analytics service delivery.

Experience in strategic roadmap development, analytics practice leadership, data product innovation and business growth.

Candidate Location:

Pune / Bengaluru

Skills – Mandatory

Data \& Analytics strategy and practice leadership.

Business Intelligence (BI), advanced analytics and data-driven transformation.

AI/ML-driven analytics solutions and business transformation.

Cloud-based data platforms and modern analytics technologies.

SQL, Python and Power BI.

Predictive analytics, statistical modelling and data visualisation.

Client relationship management and executive stakeholder engagement.

Analytics delivery management, team leadership and performance governance.

Pre-sales, proposal development and business-value articulation.

Data product strategy, positioning and commercialisation.

Education and Certification

Qualification

Mandatory:

Bachelor's or Master's degree in Business Analytics, Data Science, Statistics or a related field.

Good to Have:

Advanced qualifications in analytics, data science, statistics or related disciplines.

Certification

Good to Have:

Relevant certifications in cloud data platforms, data analytics, BI, AI/ML or data science.

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Detailed Job Description

The Head of Data \& Analytics as a Service will lead the strategy, development and scaling of analytics capabilities, AI-driven solutions and data products. The role involves defining the analytics roadmap, driving data-led business transformation, developing client relationships, supporting business growth and managing high-performing analytics teams.

Key Responsibilities

Strategic Leadership \& Practice Development

Lead the Data \& Analytics as a Service practice, with end-to-end ownership of analytics capabilities and delivery.

Define and execute a strategic roadmap integrating advanced analytics, AI/ML and modern data technologies.

Align analytics initiatives with business objectives, growth strategies and market requirements.

Drive an AI-first approach to reporting, analytics and digital transformation.

Client-Centric Innovation

Partner with clients to develop tailored data solutions that improve business growth, operational efficiency and customer experience.

Leverage AI-first and cloud-native platforms to develop scalable data products and intelligent analytics solutions.

Build strategic client relationships and act as a trusted advisor for analytics transformation initiatives.

Advanced Analytics \& Insights Delivery

Lead advanced analytics initiatives involving statistical modelling, predictive analytics and machine learning.

Oversee the development of interactive dashboards, reporting solutions and data visualisation tools.

Use data insights to identify trends, operational inefficiencies and business improvement opportunities.

Ensure analytics solutions deliver measurable business outcomes and support data-driven decision-making.

Business Growth \& Pre-Sales

Collaborate with sales and go-to-market teams to develop proposals and position analytics offerings.

Conduct technical assessments, understand client challenges and articulate the business value of analytics solutions.

Identify emerging technology trends and opportunities to strengthen analytics offerings.

Support business development through solution positioning and value-based proposals.

Data Product Innovation

Lead the development and expansion of AI-driven, cloud-native data products.

Define product positioning, commercialisation strategies and deployment plans.

Integrate reusable digital assets and analytics solutions into client offerings.

Drive adoption and business value through scalable analytics products.

Team Leadership \& Development

Build, lead and mentor teams comprising BI developers, data scientists and analytics professionals.

Foster continuous learning, innovation, collaboration and technical excellence.

Manage analytics project delivery against timelines, budgets and quality benchmarks.

Develop team capabilities to support evolving data, AI and analytics requirements.

Client \& Industry Relations

Establish strategic client partnerships and strengthen analytics service relationships.

Drive the establishment of Analytics Centres of Excellence (CoEs).

Represent the analytics practice in industry forums, analyst evaluations and thought-leadership initiatives.Position the practice as a strategic partner for data-driven business transformation.

Key Skills

Mandatory Key Skills:

15\+ years of experience in Business Analytics / Data \& Analytics.

Data \& Analytics strategy and practice leadership.

Business Intelligence and advanced analytics.

AI/ML-driven business transformation.

Cloud-based analytics project delivery.

SQL, Python and Power BI.

Predictive analytics and statistical modelling.

Data visualisation and dashboard development.

Analytics team leadership and delivery governance.

Client relationship and executive stakeholder management.

Pre-sales, proposal development and business-value articulation.

Strategic planning and business transformation.

Good To Have Skills

Snowflake and Databricks.

AI-first and cloud-native data platforms.

AI-driven data products and product commercialisation.

Analytics Centres of Excellence (CoEs).

Data product portfolio strategy and go-to-market planning.

Multi-industry analytics experience.

Thought leadership and industry analyst engagement.

Change management and cross-functional collaboration.

Other Specific Remarks

Additional Requirements:

Strong business acumen and a customer-centric approach are essential.

Candidates should demonstrate experience translating analytics and AI capabilities into measurable business outcomes.

Experience leading large-scale, cloud-based analytics projects is expected.

Strong communication, strategic thinking and executive stakeholder management skills are required.

Experience in analytics service delivery, pre-sales, business growth and data product commercialisation is important.