Head – Data & Analytics

💼 Job Title

📍 Location

🏢 Department

⏰ Shift

🔹 Role Overview

Head of Data & Analytics as a Service

🔧 Key Responsibilities

Strategic Leadership

• Define and lead the roadmap for

  Data & Analytics as a Service

  practice aligned to Infosys BPM’s AI-first strategy
• Build next-generation data platforms using

  cloud-native technologies (e.g., Snowflake, Databricks)

• Champion innovation, aligning digital transformation with GTM and business goals
• Represent Infosys BPM in

  industry and analyst forums

  , establishing it as a thought leader

Client-Focused Innovation

• Act as a

  trusted advisor

  for key clients, co-creating bespoke data solutions
• Deliver AI-driven insights that enable clients to

  improve efficiency, agility, and CX

• Build strategic client partnerships and establish

  Analytics Centers of Excellence (CoEs)

Advanced Analytics Delivery

• Guide teams in executing projects involving

  machine learning, predictive analytics, and data visualization

• Drive development of

  interactive dashboards and real-time decision tools

• Ensure analytics deliver measurable impact by uncovering trends and optimization opportunities

Pre-Sales & Business Growth

• Collaborate with

  sales and GTM teams

  to craft high-impact proposals and solutions
• Support technical assessments, RFP responses, and demonstrations for key opportunities
• Monitor analytics market trends to ensure relevance and competitive advantage

Data Product Leadership

• Own the lifecycle of

  AI/ML-driven, cloud-native data products

• Develop commercialization strategies and integrate solutions with client ecosystems
• Leverage Infosys BPM’s

  digital assets marketplace

  for scalable deployment

People Leadership

• Build and mentor a team of

  data scientists, BI developers, and analytics consultants

• Promote a culture of

  learning, agility, and design thinking

• Drive delivery excellence while meeting timelines, budgets, and quality KPIs

🔑 Key Competencies

• Advanced analytical and problem-solving abilities
• Strong

  strategic execution

  mindset and business acumen
• Expertise in

  cloud-native analytics platforms

  – Snowflake, Databricks, etc.
• Proven track record in

  AI/ML-led transformation

• Ability to lead in high-change, cross-functional environments
• Exceptional communication, influence, and

  stakeholder engagement

  skills

🎓 Qualifications

• Bachelor’s or Master’s in

  Data Science, Analytics, Statistics, or related fields

• 15+ years

  of experience in analytics leadership, with a focus on large-scale, cloud-based projects
• Proficient in tools like

  SQL, Python, Power BI

  , and enterprise data integration
• Demonstrated experience delivering

  data products

  , analytics platforms, and AI capabilities across industries