Director - Data and Analytics
Michael Page Bangalore
About Our Client
Our client is a global professional services organization with a strong focus on technology-led transformation, innovation, and data-driven decision-making across regions.
Job Description- Define and lead enterprise data, analytics, and AI strategy
- Build and operate the global D&A function and operating model
- Partner with technology and business leaders on data-driven outcomes
- Establish governance, stewardship, and AI-ready data foundations
- Oversee advanced analytics, data science, and reporting initiatives
- Foster a strong data-driven culture and enterprise-wide literacy
- 15-20 years of experience in data, analytics, or technology leadership
- Proven success leading enterprise-scale data and analytics programs
- Strong stakeholder management and executive communication skills
- Deep understanding of data governance, platforms, and AI readiness
- Experience in complex, global, or consulting-driven environments
- Ability to drive cultural change through data and analytics
- Global leadership role with high strategic visibility
- Opportunity to shape enterprise-wide data and AI foundations
- Collaborative, forward-looking technology environment
- Competitive leadership compensation and benefits
- Long-term impact on business transformation initiatives
- Location - Bangalore or Kolkata
NaviBangalore
Job Description
About the Team
The Analytics team at Navi plays a pivotal role in driving data-informed decision-making across the organization. We work closely with all business functions to generate insights, build visibility, and validate...
Bangalore
Overview:
Location: Hyderabad, Chennai, Coimbatore, Bengaluru
Exp Required: 2-4 Years
Skills Required: Google Analytics GA4, Google Tag Manager, SQL, Looker Studio
We are OGS—Omnicom's Integrated Solutions Engine that brings together a global...
AmazonBangalore
maturity by incorporating predictive and prescriptive analytics using machine learning and optimization techniques where appropriate.
• Design and develop pipelines required for optimal extraction, transformation, and loading of data from diverse sources...