AI Strategy & Transformation Specialist

6 - 8 years

0 - 3 Lacs

hyderabad bengaluru mumbai (all areas)

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Dear Candidates,

Greetings from TCS!!!!

TCS is looking for AI Strategy & Transformation Specialist

Experience: 6-8 years

Location: Hyderabad /Bangalore/Mumbai

MUST HAVE SKILLS:

  • Align AI transformation with company's ambitious strategy knowing its strengths and weaknesses. Outline an assessment framework for AI maturity and identify gaps.
  • Define and refine the corporate AI strategy, Vision, Roadmap and align it with the overall business goals and operating model transformation.
  • Establish AI governance frameworks, ethical guidelines, and risk mitigation plans to ensure responsible, compliant, and trustworthy AI development and application.
  • Assess business processes to identify high-impact use cases where AI and Generative AI can automate tasks, improve decision-making, and create new business models.
  • Identify AI use cases with apparent value and excel in creating staged transformation plans.
  • Act as a trusted advisor to senior leadership and communicate complex AI concepts and project outcomes to non-technical audiences to ensure alignment and secure buy-in.
  • Plan and Drive enterprise-wide AI literacy and capability development programs, manage organizational change, and foster a culture of continuous learning and innovation.
  • Develop actionable roadmaps, oversee the development and deployment of AI models, and ensure successful integration with existing systems and workflows.
  • Evaluate the effectiveness and profitability of AI implementations across departments and define clear metrics (KPIs) to measure success and track ROI.

Good to have skills:

  • Align AI transformation with company's ambitious strategy knowing its strengths and weaknesses. Outline an assessment framework for AI maturity and identify gaps.
  • Define and refine the corporate AI strategy, Vision, Roadmap and align it with the overall business goals and operating model transformation.
  • Establish AI governance frameworks, ethical guidelines, and risk mitigation plans to ensure responsible, compliant, and trustworthy AI development and application.
  • Assess business processes to identify high-impact use cases where AI and Generative AI can automate tasks, improve decision-making, and create new business models.
  • Identify AI use cases with apparent value and excel in creating staged transformation plans.
  • Act as a trusted advisor to senior leadership and communicate complex AI concepts and project outcomes to non-technical audiences to ensure alignment and secure buy-in.
  • Plan and Drive enterprise-wide AI literacy and capability development programs, manage organizational change, and foster a culture of continuous learning and innovation.
  • Develop actionable roadmaps, oversee the development and deployment of AI models, and ensure successful integration with existing systems and workflows.
  • Evaluate the effectiveness and profitability of AI implementations across departments and define clear metrics (KPIs) to measure success and track ROI.

Roles and responsibilities:

  • Align AI transformation with company's ambitious strategy knowing its strengths and weaknesses. Outline an assessment framework for AI maturity and identify gaps.
  • Assess business processes to identify high-impact use cases where AI and Generative AI can automate tasks, improve decision-making, and create new business models. • Identify AI use cases with apparent value and excel in creating staged transformation plans. Act as a trusted advisor to senior leadership and communicate complex AI concepts and project outcomes to non-technical audiences to ensure alignment and secure buy-in.
  • Plan and Drive enterprise-wide AI literacy and capability development programs, manage organizational change, and foster a culture of continuous learning and innovation.
  • Develop actionable roadmaps, oversee the development and deployment of AI models, and ensure successful integration with existing systems and workflows.
  • Evaluate the effectiveness and profitability of AI implementations across departments and define clear metrics (KPIs) to measure success and track ROI.

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