AI Product Owner

2 weeks ago

Bengaluru, Karnataka, India LTIMindtree Full time

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies.

As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world.

Job Details-Location – Mumbai / Pune / Delhi / Chennai / Bangalore / Noida / Kolkata / CoimbatoreNotice Period - Immediate to 60 Days onlyExperience - 7+ YrsPrimary Skills : Gen AI, Product Owner/ Product Manager, Agile Management

Job Description:

We are seeking a dynamic and experienced AI Product Owner with a strong background in Generative AI to drive the development and delivery of innovative AI solutions.

The ideal candidate will have a passion for AI technology, a deep understanding of Generative AI techniques, and a proven track record of successfully leading AI projects from conception to launch.

As an AI Product Owner for Generative AI projects, you will play a pivotal role in defining product vision, prioritizing features, and collaborating with cross-functional teams to deliver cutting-edge AI products that delight our customers and drive business growth.

Qualification

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field; advanced degree preferred.
  • Proven experience as a Product Owner or Product Manager, with at least (X years) of experience in AI product development, particularly in Generative AI.
  • Deep understanding of Generative AI techniques and algorithms, including generative adversarial networks (GANs), variational autoencoders (VAEs), and deep reinforcement learning (DRL).
  • Strong analytical and problem-solving skills, with the ability to translate business needs into actionable product requirements and technical solutions.
  • Excellent communication and collaboration skills, with the ability to effectively engage with stakeholders at all levels and build consensus.
  • Experience working in Agile/Scrum environments, and familiarity with Agile product management tools such as Jira or Azure DevOps.
  • Strong leadership skills, with the ability to inspire and motivate cross-functional teams to deliver high-quality products on time and within budget.
  • Passion for AI technology and a desire to drive innovation and create value through AI-driven products.
Responsibilities

  • Define and articulate the product vision, strategy, and roadmap for Generative AI projects, aligning with business objectives and customer needs.
  • Collaborate with stakeholders, including business leaders, data scientists, engineers, and designers, to gather requirements, prioritize features, and define user stories.
  • Act as the voice of the customer, advocating for user needs and preferences, and ensuring that the product delivers value and meets quality standards.
  • Lead the product backlog grooming process, prioritizing features based on business value, technical feasibility, and customer feedback, and maintaining a well-defined backlog.
  • Work closely with data scientists and machine learning engineers to identify and evaluate Generative AI techniques and algorithms that best meet project requirements.
  • Partner with engineering teams to ensure successful implementation and delivery of Generative AI features, providing guidance on technical requirements and trade-offs.
  • Define success criteria and key performance indicators (KPIs) for Generative AI projects, and track and measure project progress against goals.
  • Conduct user research, usability testing, and market analysis to gather insights and validate product hypotheses, and iterate on product features based on feedback.
  • Stay up-to-date with the latest advancements in Generative AI technology, industry trends, and competitive landscape, and incorporate learnings into product strategy

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