HCLTech
Website:
hcltech.com
Job details:
Location: Noida/Pune
Role Summary
This role operationalizes the definition and delivery of AI‑driven product features by translating product insights into actionable requirements and prioritized roadmaps. The role partners closely with engineering, architecture, practice leaders, and ecosystem partners to deliver scalable, reliable, and responsible AI capabilities. This position requires strong techno‑functional acumen, data‑driven execution, and ownership of outcomes across delivery, adoption, and business impact.
Key Responsibilities
- Translate business and product insights into clear product requirements, user stories, and prioritised backlogs for AI‑driven features and automation frameworks.
- Collaborate with engineering teams and architects to define technical feasibility, scope boundaries, iteration plans, and delivery milestones for AI capabilities.
- Define and track success metrics, acceptance criteria, and telemetry signals covering performance, quality, safety, and adoption outcomes.
- Coordinate cross‑functional execution across engineering, GTM, alliances, and practice teams to maintain delivery cadence and stakeholder alignment.
- Support Responsible AI readiness by embedding risk considerations, documentation needs, evaluation checkpoints, and guardrails into product planning and execution.
- Leverage hyperscaler ecosystems ((Claude, Azure, AWS, Google Cloud, OpenAI, NVIDIA, etc) and partner toolchains to enable scalable, explainable, and enterprise‑ready AI solutions.
- Monitor post‑launch performance and adoption metrics, using data insights to continuously improve product value, reliability, and customer impact.
Qualifications
- BE / BTech / MBA or equivalent, with a strong foundation in technology‑led product delivery or AI‑driven solution development.
- 6+ years of experience in product management, solution ownership, or techno-functional roles across IT services, platforms, or AI-driven products, along with hands-on experience developing products within one of the following industries: Retail & CPG, Automotive, Travel & Transport, Manufacturing, or Telecom.
- Hands‑on experience working with AI, Generative AI, Agentic AI, or intelligent automation use cases across enterprise environments.
- Exposure to hyperscaler/OEM platforms (Claude, Azure, AWS, Google Cloud, OpenAI, NVIDIA, etc) and familiarity with AI service stacks, tooling, and partner ecosystems.
- Demonstrated ability to work across engineering, and business stakeholders to drive execution and measurable outcomes.
Expected Impact
- Translate product vision and insights into clearly defined, build-ready AI features, delivered against committed timelines.
- Operationalize AI capabilities across solutions through repeatable deployment patterns, standards, and delivery rigor.
- Enhance delivery efficiency and product quality through precise requirement breakdown, structured execution, and governance controls.
- Drive measurable business impact through continuous release cycles, data-led iteration, and active performance optimization.
- Embed execution discipline in usage of AI Force/Responsible AI, telemetry-driven operations, and outcome-oriented product delivery practices across teams.
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