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T
Director

Director

Tredence Analytics Solutions Private Limited·Posted 1 week ago

Location

Bangalore

Experience

15–20 years

Required Skills

Generative AIArtificial IntelligenceR&DLLMMLOpsAWSData ScienceIT HeadIT StrategyIT Roadmap

About the Role

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 metricsadoption rate, time-to-market, and business impact.

Qualifications & Experience :

- 15 to 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.

HireIQ AI InsightsBeta

Ideal Candidate

Someone who has shipped enterprise AI products (not just POCs) in verticals like BFSI or Retail, with 15+ years bridging R&D and commercial delivery.

Estimated Salary Range(medium confidence)

25 L – ₹42 L per year

Likely Interview Questions

  1. 1.Walk us through a GenAI product or accelerator you built end-to-end—from ideation through client adoption. What was the adoption rate and business impact?
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