Head of Data & Analytics - India

Head of Data & Analytics (India)

About You

• You bring deep expertise in the entire data lifecycle and analytics and know how to turn insights into outcomes.
• You lead with influence and are energized by building high-performing, scalable delivery teams.
• You’re a strategic operator, capable of mentoring talent, shaping practice direction, and supporting go-to-market activities.
• You thrive in a collaborative, cross-functional environment and believe in India as a capability and innovation hub.
• You have a command of AI/ML technologies, with a strategic mindset for integrating advanced data science into marketing and business operations.
  

What You’ll Do

• Lead the Data & Analytics practice in India, supporting both onsite engagements and global in-house delivery.
• Mentor and guide a growing team of 50+ onsite and offshore data professionals, fostering technical excellence, collaboration, and continuous improvement.
• Build, scale, and optimize a Center of Excellence (CoE) for data engineering, reporting, business intelligence, and AI.
• Act as the primary SME and escalation point for India data delivery; provide thought leadership and delivery oversight.
• Collaborate with global teams to identify & enable cross-sell and up-sell opportunities.
• Support pre-sales, client pitches, and proposal development for data projects and analytics initiatives.
• Define and standardize best practices for data modeling, quality, automation, and agile delivery processes.
• Drive internal capability building in advanced analytics, visualization (e.g. Domo, Power BI), and platforms (e.g. Snowflake, DataBricks).
• Represent OneMagnify India’s data capabilities to clients, prospects, and global leadership.
• Stay abreast of emerging AI technologies, data science techniques, and industry innovations to drive differentiation in client delivery.
  

What You’ll Need

• 15+ years of experience in Data & Analytics with a proven track record in leading data practices or delivery teams.
• Expertise in BI, reporting, data engineering, and cloud platforms (e.g. Snowflake/DataBricks, Domo/PowerBI/Tableau, AWS/GCP/Azure, SQL/Python/Spark).
• Strong understanding of data lifecycle, analytics frameworks, and agile development.
• Experience working in onsite-offshore models across enterprise environments.
• Demonstrated ability to lead cross-functional teams, mentor talent, and influence executive stakeholders.
• Entrepreneurial mindset with the ability to shape strategy, drive adoption, and build client trust.
• Excellent communication and storytelling skills with a consultative and commercial outlook.
• Experience in leading data and analytics teams focused on marketing performance, customer insights, or personalization at scale.
• A track record of translating complex analytical findings into actionable business strategies and measurable ROI improvements.