in building and scaling enterprise data & analytics practices. The role requires strong
GCC experience, global stakeholder management, data modernization, architecture, governance, and GenAI exposure .
Key Responsibilities Build, scale, and lead enterprise
Data & Analytics
practices. Drive
data transformation and modernization , including migration from
Azure Synapse to Snowflake . Lead transition from legacy data and visualization platforms to modern technologies. Drive the transition from
MicroStrategy to Power BI
and strengthen enterprise data visualization capabilities. Define and implement
data architecture, governance, MDM, and data quality
frameworks. Lead data engineering initiatives using
Azure Data Factory (ADF) . Identify and implement
GenAI use cases
across data and analytics functions. Collaborate with global teams and stakeholders across multiple geographies. Establish best practices,
standards, and scalable data platforms across the organization.
Mandatory Requirements 18+ years
of overall experience in Data & Analytics. Solid experience in
building and growing Data & Analytics practices . GCC experience is mandatory ; industry experience is flexible. Mandatory hands-on/leadership experience in
Azure Synapse → Snowflake transformation/migration . Experience with
MicroStrategy, Power BI , and other data visualization platforms. Strong knowledge of
Data Architecture, Data Governance, MDM, and Informatica . Experience transitioning
legacy technologies to modern/new-age data platforms . Strong
GenAI
exposure and understanding of enterprise GenAI applications. Good experience with
Azure Data Factory (ADF) . Global exposure is mandatory , with experience working with teams across geographies
📌 Data & Analytics Leader (Mumbai)
🏢 Talentmatics
📍 Mumbai
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