Data & Analytics

💼 Job Title

📍 Location

⏰ 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