Director Product Innovation & Engineering

Role Overview:

We are seeking a dynamic
Director – Product Innovation . Engineering to lead our GenAI Products and Accelerator strategy within the Studio

team. This role combines deep hands-on expertise in developing full stack solutions using GenAI, leading engineering teams and proven track record of building scalable, repeatable, and differentiated offerings for enterprise clients.

You will lead a cross-functional team of engineers, architects, data scientists, and engineers to conceptualize, design, and operationalize AI-driven products and accelerators that drive measurable client value and business growth.

Key Responsibilities

• Lead the

ideation, design, and development
of AI-powered products, accelerators, and reusable assets.

• Build

industry-specific solutions
aligned to client challenges and growth priorities.

• Maintain a

roadmap of reusable AI assets
, ensuring consistent alignment with evolving client and market needs.

• Evaluate and integrate

partner solutions
from hyperscalers, data platforms, and ISVs to accelerate time-to-market.

• Collaborate with sales, presales, and marketing to define

GTM strategies
and enable account plays.

• Represent the organization at

industry events, analyst briefings, and thought leadership forums.

• Drive visibility through

whitepapers, blogs, and product showcases.

• Track and improve innovation metrics—adoption rate, time-to-market, and business impact

Qualifications . Experience

• 15–20 years of experience in

AI/Analytics product innovation, solution design, or R.D leadership.

• Proven success in

building enterprise-grade AI or data-driven products
, preferably in industry domains such as Retail, CPG, BFSI, or Manufacturing.

• Strong understanding of

AI/ML frameworks, LLMs, GenAI architectures, and MLOps pipelines.

• Hands-on exposure to

accelerator design, development, product roadmap ownership, and market launch.

• Experience collaborating with

hyperscalers (AWS, Azure, GCP), data plaforms (Databricks . Snowflake)
, and AI ecosystem partners.

• Strong business acumen with the ability to

translate research into commercial products.

• Excellent communication and stakeholder management skills across executive and technical levels.

• A track record of

**thought leadership
—publications, conference presentations, or patents preferred.