Data and Analytics - AI/ML

Golden Opportunities; Bengaluru; On-site; INR 6,000,000 - 12,000,000; Full time

Job summary

Golden Opportunities is seeking a senior Head of Data & Analytics as a Service to lead strategy and scaling of analytics capabilities and AI-driven data products. The role focuses on defining the analytics roadmap, driving data-led transformation, and managing client relationships at an executive level.

You will guide analytics delivery, dashboards, and cloud-native platforms, while collaborating with cross-functional teams to grow the analytics practice and deliver measurable business impact.

Qualifications

• 15+ years of experience in Business Analytics or related domains.
• Proven leadership of large-scale, cloud analytics projects.
• Experience in AI/ML-driven analytics and data product innovation.

Responsibilities

• Lead strategy and scaling of analytics capabilities and AI-driven solutions.
• Define analytics roadmap and drive data-led business transformation.
• Manage high-performing analytics teams and client relationships.
• Oversee dashboards, data visualisation and analytics delivery governance.
• Collaborate with sales for pre-sales and business-value articulation.

Skills

15+ years of experience in Business &

Education

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

Tools

Snowflake

Databricks

Job description

• 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

Detailed Job Description JD

• 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.