Role: Senior Manager - AI & Data Engineering
Location: Bengaluru, KA
Work Mode: Hybrid (2-3 Days/ Week from Office)
Overview:
We are looking for a Senior Manager - AI & Data Engineering to lead the delivery of high-impact software products, AI capabilities, and trusted data solutions that enable better business decisions and operational outcomes.
This is a leadership role for someone who can operate at the intersection of business, product, software engineering, AI, and modern data platforms - translating complex business problems into scalable, secure, and production-ready technology solutions.
What You'll Do:
- Lead a multidisciplinary team across software engineering, AI, and data engineering, building a high-performing and collaborative technology function.
- Partner with senior business stakeholders to identify opportunities, define outcomes, prioritise initiatives, and translate business needs into technology roadmaps.
- Own delivery end-to-end, from discovery and solution design through development, deployment, adoption, and ongoing operations.
- Provide technical leadership across, cloud-native software, APIs, integrations, CI/ CD, security, reliability, and scalable application architecture.
- Drive modern data engineering and Databricks capabilities, including lakehouse architecture, data pipelines, SQL, Python, dbt, data modelling, governance, quality, and observability.
- Guide the development and of AI/ML, LLM-enabled applications, automation, and agentic workflows, with appropriate evaluation, monitoring, human oversight, and responsible AI practices.
- Establish effective product and agile delivery practices, managing priorities, dependencies, risks, capacity, and delivery commitments.
- Work closely with Enterprise Architecture, Cyber Security, Data Governance, Technology, and business teams to ensure solutions meet enterprise standards.
- Stay technically engaged through architecture reviews, code reviews, complex problem-solving, and engineering decisions while effectively leading and developing the team.
- Establish strong operational ownership covering monitoring, support, incident management, service objectives, lifecycle planning, and cost management.
What We're Looking For:
- Significant experience delivering software, data, and AI capabilities within complex enterprise environments.
- Proven experience leading and developing technical engineering teams and managing multiple concurrent initiatives.
- Strong understanding of software engineering, cloud-native architecture, APIs, integration, testing, CI/CD, security, and reliability.
- Hands-on understanding of Databricks and lakehouse architecture, including pipelines, SQL, Python, dbt, data modeling, and data governance.
- Practical experience with AI/ML and modern AI applications, including LLM solutions, evaluation, observability, responsible AI, and production lifecycle management.
- Strong product and delivery management capabilities, including roadmaps, prioritization, agile delivery, stakeholder management, risk and dependency management.
- Ability to take ambiguous business problems from discovery to measurable business outcomes.
- Strong communication and influencing skills, with the ability to engage equally well with executives, business stakeholders, architects, and engineers.
- Experience with capacity planning, budgeting, vendor management, and balancing delivery commitments across a technology portfolio.
- A degree or equivalent practical experience in Computer Science, Software Engineering, Data, AI, or a related discipline.
Why this
You will have the opportunity to work on problems that sit at the intersection of AI, data, software engineering, and large-scale digital infrastructure, while leading teams and technology initiatives with tangible business impact.
The next generation of enterprise technology leaders won't simply build AI models or data platforms. They will connect business problems, data, AI, software, people, and measurable outcomes into products that genuinely change how organisations operate.
