Head of Analytics & Data Science

• Job Title: Head of Analytics & Data Science BPM(Multi-Vertical)
• Location: India Gurgaon
• Department: Analytics
• Reports to: Chief Capability Leader

Experience Required

Education

Job Summary

Head of Analytics & Data Science

Key Responsibilities

Strategic Analytics & Data Science Leadership

• Define and execute a unified analytics and data science

  roadmap aligned with the organizations digital and business transformation goals across all verticals.

• Champion the integration of advanced data science techniques

  (predictive modelling, optimization, machine learning) into core business functions.

• Collaborate with business leaders to embed data-driven decision-making i

  nto strategic and operational processes.

Client-Facing Solutioning & Delivery

• Serve as the senior advisor to clients, leading discovery sessions, solution design, and execution of advanced data science and analytics programs.

• Design customized

  , vertical-specific analytics and AI/ML solutions:

• Shipping & Logistics

  : Route optimization, warehouse analytics, predictive delivery

• Telecom

  : Churn prediction, usage pattern modelling, customer lifetime value

• Insurance

  : Fraud detection, risk scoring, claims analytics

• Energy & Utilities

  : Load forecasting, asset health modelling

• Retail & Diversified

  : Customer 360, pricing optimization, market basket analysis

• BFS

  : Risk modelling, credit scoring, anti-money laundering (AML) analytics

• Healthcare & Life Sciences

  : Patient outcome prediction, RWE analytics, care pathway modelling

• Automotive

  : Predictive maintenance, quality analytics, connected vehicle data modelling

• Travel & Leisure

  : Dynamic pricing, demand forecasting, personalization and loyalty analytics

Operational Analytics & Governance

• Establish and enforce best practices in data science model lifecycle management, data governance, and analytical operations.
• Drive efficiency and SLA improvements through continuous monitoring, dashboards, and KPI frameworks.
• Ensure m

  odel explainability, compliance

  (e.g., GDPR, HIPAA), and responsible AI principles in delivery.

Team Development & Leadership

• Build and lead high-performance global teams of data scientists, ML engineers, BI developers, and domain experts.

• Establish Centers of Excellence (CoEs)

  for

  analytics

  and

  data science

  by industry vertical and capability.
• Foster a c

  ulture of experimentation, innovation, and continuous learning

  in AI, ML, and data science.

Technology & Innovation Enablement

• Oversee the adoption of best-in-class platforms and tools:

• BI

  : Power BI, Tableau, Qlik

• Data Science & ML: Python, R, SAS, TensorFlow, Scikit-learn

• Cloud & Big Data: AWS, Azure, GCP, Spark, Databricks

• Lead initiatives involving generative AI, NLP, and real-time analytics to improve process automation and customer experience.

Data Science Excellence

• Own the design and scaling of ML pipelines, model ops frameworks, and AI-driven workflows across client programs.
• Introduce innovation in forecasting, classification, clustering, and optimization models.
• Build partnerships with academic institutions, AI labs, and vendors to continually enhance the firm’s data science maturity.

Key Skills & Competencies

• Deep multi-vertical expertise with strong domain understanding across listed industries
• Expertise in data science, statistical modelling, and ML deployment at scale
• Strong consultative, problem-solving, and solution architecture capabilities
• Executive presence and stakeholder management with global clients
• Proven ability to build analytics and data science teams, COEs, and delivery frameworks

Preferred Background

• Senior leadership experience in analytics and data science within a BPM/KPO/Shared
• Services/Consulting environment
• Track record of driving data science-led transformation in client engagements
• Experience delivering programs for US, UK/EU, and APAC markets
• Familiarity with regulatory requirements and ethical AI standards across industries