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Role at a glance
You will
Lead cross-functional data and AI initiatives from strategy through execution, partnering with business, technology, operations, and…
Define and manage roadmaps for analytics modernisation, data products, AI enablement, reporting automation, and enterprise data governance.
Oversee delivery of high-quality datasets, dashboards, models, and AI-enabled solutions that support business decision-making and client…
Experience
15+ years
Education
Bachelor's degree (preferred)
Must-have skills
Data EngineeringData GovernanceData WarehousingMachine Learning
Work mode
Hybrid
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Job description
Location: Viman Nagar, Maharashtra Department: IT
We are seeking a Senior Manager, Data and AI to lead strategic data, analytics, and artificial intelligence initiatives that improve operational performance, accelerate insight delivery, and enable scalable, governed data solutions across the organisation.
Key Responsibilities
Lead cross-functional data and AI initiatives from strategy through execution, partnering with business, technology, operations, and executive stakeholders.
Define and manage roadmaps for analytics modernisation, data products, AI enablement, reporting automation, and enterprise data governance.
Oversee delivery of high-quality datasets, dashboards, models, and AI-enabled solutions that support business decision-making and client outcomes.
Guide teams in data analysis, requirements definition, solution design, data quality management, and adoption of modern data platform capabilities.
Manage priorities, stakeholder expectations, delivery risks, and team performance while promoting a culture of innovation, accountability, and continuous improvement.
Skills, Knowledge & Expertise
Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business, Engineering, or a related field; advanced degree preferred.
15+ years of experience in data, analytics, business intelligence, data engineering, AI, or technology delivery, with 10+ years leading teams or major programs.
Strong understanding of modern data platforms, cloud analytics, data warehousing, data governance, BI reporting, machine learning, and AI solution delivery.
Experience translating business objectives into data strategy, product roadmaps, delivery plans, success measures, and executive-level communications.
Proven ability to lead distributed teams, influence senior stakeholders, manage complex priorities, and deliver practical data and AI solutions at scale.
Key skills
Required
Data EngineeringData GovernanceData WarehousingMachine Learning
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Questions you may be asked
Tell me about yourself.
Explain the four pillars of object-oriented programming.
What is the difference between a process and a thread?
