We are seeking an entrepreneurial and technically strong leader to head our Analytics Applications and Engineering business unit. This role requires a rare combination of :
– Deep engineering and architecture expertise
– Commercial and business ownership mindset
– Strong people leadership capability
– Customer-facing solutioning skills
– Sound governance capabilities to setup and manage a growing organization
– Ability to drive AI-led transformation
You will lead an organization of ~ 80 to 100 engineers, engineering managers and Architects responsible for building scalable analytics applications, embedded AI solutions, custom dashboards, and modern data products for enterprise clients.
The role goes beyond delivery management. You will own business outcomes, capability building, profitability, talent strategy, and technology evolution while partnering closely with Business Analysts and client stakeholders.
We are looking for a hands-on techno-commercial leader who has grown within entrepreneurial environments and combines startup agility with mature operational discipline.
Candidates from purely large-scale IT services environments with narrowly defined delivery roles may not fit unless they demonstrate entrepreneurial ownership and technical depth.
Key Responsibilities :
Business Ownership :
– Joint ownership of BU revenue targets and growth plans
– Own profitability, delivery margins, and cost optimization
– Support pre-sales, solutioning, estimations, and proposal development
– Participate in account growth opportunities and strategic customer discussions
– Drive operational excellence across the unit
Delivery Leadership :
– Own end-to-end delivery of analytics applications and data platforms including
– Quality, Timelines and Engineering efficiency
– Demand Planning and fulfillment
– Lead organizations of ~80 to 100 engineers and engineering managers
– Establish delivery governance and risk management processes
– Build repeatable delivery models and frameworks
Technical Leadership :
Front-end and application engineering :
– Using Microsoft .NET, NodeJS
– Angular / modern frontend frameworks
– Enterprise application architecture
– API and microservices architecture
Data engineering and cloud platforms :
– Microsoft Azure, Fabric, Databricks and other mainstream cloud data ecosystems (such as Snowflake, AWS, GCP)
– Modern data pipelines and ETL tools for Batch/Real time processing
– Data platform architecture
Analytics and AI applications :
– Embedded ML into applications at production scale
– AI-assisted / Agentic workflows and LLM-powered experiences
– DevOps and MLOps concepts
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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