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Senior, niche analytics/AI leadership role reduces competition despite Bangalore location.
Requires deep analytics, AI, and data engineering consulting experience, making cross-industry transferability low.
Explicit 10–15 years requirement plus mandatory deep technical, delivery, and CXO consulting experience makes filters very strict.
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Lead enterprise-scale analytics, AI, and data engineering transformations across multiple industries, accountable for solution delivery and stakeholder management.
Serve as trusted advisor to C-suite clients, driving AI strategy, conducting executive workshops, and translating business requirements into scalable technology solutions.
Architect and oversee advanced AI and data engineering platforms incorporating GenAI, MLOps, modern data stacks, and governance frameworks, while managing large cross-functional teams.
10–15 years of experience in Analytics, AI, Data Engineering, and Technology Consulting with leadership of large transformation programs.
Proficiency in Python, SQL, PySpark, and at least one BI tool; expertise with cloud data platforms (Snowflake, Databricks, BigQuery, etc.) and AI/ML pipelines.
Bachelor's degree in Computer Science, IT, Electronics, Mathematics, Statistics or related engineering discipline from a premier institution; MBA or equivalent management degree preferred.
Experience managing large teams (20–100+ members) across global delivery models and multi-million dollar program leadership.
Started career as a hands-on software/data engineer with strong coding and system design skills, progressing to lead analytics, AI, and engineering teams.
Equally comfortable engaging in deep technical discussions and executive stakeholder advisory, bridging architecture, coding, and consulting.
Demonstrated success in client engagement, mentoring engineering and consulting teams, and delivering measurable business outcomes through AI transformations.