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Senior, niche AI/data consulting role in Bengaluru reduces applicant density despite metro location.
Requires deep analytics, ML, and data-platform consulting experience, limiting cross-industry transferability.
Explicit 10+ years, deep AI/data engineering, and leadership mandates make filters strict.
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Lead end-to-end consulting engagements for enterprise-scale AI, Analytics, and Data Engineering transformations, engaging with CXO-level stakeholders.
Design and oversee scalable AI/ML solutions including Generative AI, driving architecture, engineering standards, and responsible AI governance.
Manage delivery of cross-functional teams, ensure solution governance, and support business development through client workshops and proposal leadership.
10–15 years of experience in Analytics, AI, Data Engineering, and Technology Consulting with enterprise transformation leadership.
Strong programming skills in Python, SQL, PySpark; experience with cloud data platforms like Snowflake, Databricks, BigQuery, Redshift, Microsoft Fabric.
Bachelor’s degree in Computer Science, IT, Electronics, Mathematics, Statistics, or related engineering discipline; MBA or equivalent management degree preferred.
Experience managing large teams (20–100+) and leading multi-million-dollar analytics/AI transformation programs.
Started as a hands-on software or data engineer with deep coding and system design experience, progressing to analytics and AI team leadership.
Comfortable bridging technical deep-dives (architecture, coding) with executive-level consulting and strategic discussions.
Proven ability to drive measurable business outcomes by influencing CXO clients and mentoring high-performing engineering and consulting teams.