Nit***wal

Senior Director, Generative AI

Education

Stanford University Graduate School of Business

Stanford University Graduate School of Business (2019 - 2020)

  • Degree: Executive Education
  • Field of Study: Corporate Innovation and Leadership
  • Description: Attended 12 months long executive education (LEAD) from Stanford Graduate School of Business. This program is for corporate leaders and is designed to provide a concentrated alternative to the MBA program. It has a particular focus on corporate innovation, strategy and leadership.

Cornell University (2024 - 2025)

  • Degree: Executive Education
  • Field of Study: Leadership and AI
  • Description:

Georgia Institute of Technology (2022 - 2026)

  • Degree: Master of Science - MS
  • Field of Study: Computer Science
  • Description:

Skills:

Business Development, Data Science, Business Planning, Strategic Vision

Work Experience:

Senior Director, Generative AI at Microsoft

  • Location: Mountain View, California, United States
  • Duration: 2024-05 to Present
  • Description: 1. Leading the strategic direction and execution of Generative AI product/platform development, driving innovation across Microsoft's Marketing from content generation to optimizing user experience 2. Collaborating with executive leadership to align AI strategies with organization goals, fostering partnerships across teams and partners. 3. Directing development in advanced AI technologies, focusing on scalability, ethical considerations, and real-world applications. 4. Leading a team of product managers and engineers to develop GenAI based platforms to be consumed across Marketing

Lecturer of Mini MBA: Artificial Intelligence at Rutgers Business School

  • Location: New Jersey, United States
  • Duration: 2023-12 to Present
  • Description: Faculty for Mini MBA: Artificial Intelligence

Head of AI Services, Google Cloud at Google

  • Location: Sunnyvale, California, United States
  • Duration: 2021-11 to 2024-05
  • Description: 1. Led Generative AI Portfolio: Directed the creation and delivery of cutting-edge AI solutions, products, and offerings, driving an estimated XXX million USD for key cloud customers 2. Built and Scaled High-Performing Teams: Built and led a multidisciplinary team of senior technical PMs and AI/SW engineers, defining a strategic vision and leading the development of custom LLMs for Google Cloud Platform (GCP) customers. Established and scaled an AI practice from the ground up in India, generating a significant business impact of XX million USD. 3. Pioneered LLMOps/GenAIOps Frameworks: Defined and executed a comprehensive roadmap for LLMOps and GenAIOps, including strategies for evaluation, testing, deployment, and management, ensuring seamless integration for GCP customers 4. Influential Thought Leader and Collaborator: Represented Google at major industry conferences (e.g., ACM KDD, NeurIPS), advised AI startups on product strategy, and collaborated with cross-functional teams to address the needs of Google Cloud’s strategic customers

Lecturer of Mini MBA: Data driven management at Rutgers Business School

Senior Technical PM, Cloud AI Services at Google

  • Location: San Francisco Bay Area
  • Duration: 2018-02 to 2021-11
  • Description: 1. Leadership in AI Solutions for Strategic Customers: Led the development and delivery of advanced AI/ML products on Google Cloud Platform (GCP) for Fortune 100 companies, focusing on Vision, Natural Language, and other cutting-edge technologies. 2. Architectural Design and Strategy: Designed technical architecture, conducted code reviews, and developed comprehensive solutions, while translating complex customer requirements into effective end-to-end solution architectures in collaboration with sales, partner leads, and technical stakeholders. 3. Executive Collaboration and Business Transformation: Managed relationships with customer technical leads and CXOs of Fortune 500 companies, overseeing successful cloud migrations and presenting Monthly Business Reviews (MBRs) to drive decision-making. Led business transformation initiatives that delivered an annual run rate of XX million USD and converted into XXX million USD in annual savings for customers. 4. Team Leadership and Thought Leadership: Directed a team of 20+ ML engineers, Data Engineers, and Program Managers, and represented Google as a public speaker at international conferences, establishing a reputation as a thought leader in AI.
AI Resume Analysis

Candidate Intelligence Report

AI-powered analysis from the perspective of a US hiring director — evaluating career continuity, growth trajectory, and role fit.

Career Continuity & Risk Assessment

Employment Gap | Industry Consistency | Tenure Stability | Education-Career MatchLow

No employment gaps detected; career has remained within AI/tech leadership with concurrent academic engagements. Tenure at major firms shows stable progression, and education from a top US business school aligns with senior leadership roles.

Career Growth Curve

Senior Technical PM, Cloud AI Services Entry
Google
2018-02 to 2021-11
Head of AI Services, Google Cloud ↑ Promoted
Google
2021-11 to 2024-05
Lecturer, Mini MBA: Data driven management Lateral
Rutgers Business School
2021-09 to 2023-12
Lecturer, Mini MBA: Artificial Intelligence Lateral
Rutgers Business School
2023-12 to Present
Senior Director, Generative AI ↑ Promoted
Microsoft
2024-05 to Present
Assessment: Nitin demonstrates a consistent upward trajectory in AI leadership across Google Cloud and Microsoft, complemented by strategic academic engagements. The blend of platform/PM leadership with enterprise impact and teaching positions him well for C-suite level opportunities such as CAIO or Global Head of AI Solutions. The pattern suggests readiness for senior executive roles, with careful consideration given to integrating ongoing teaching commitments with full-time leadership responsibilities.

Best-Fit Roles (Top 5)

1

Chief AI Officer (CAIO) at a Fortune 500 technology company95% fit

Extensive GenAI leadership, cross-functional influence, and proven ability to translate AI strategy into enterprise-wide outcomes; experiences at Google Cloud and Microsoft align with CAIO expectations.

2

Vice President / Head of Generative AI Platform & Solutions at a Global Cloud Provider93% fit

Direct platform leadership in GenAI, scale-focused product management, and track record of delivering AI solutions to enterprise customers; strong cultural fit with cloud-first organizations.

3

Global Head of AI Solutions for Enterprise at a Tech/Cloud Firm90% fit

Experience engaging Fortune 100/enterprise customers, building strategic AI roadmaps, and leading cross-functional teams; aligns with global enterprise strategy roles.

4

Vice President of AI Strategy for Marketing Technology / GenAI in Marketing87% fit

Marketing-focused GenAI leadership matches current Microsoft Marketing GenAI trajectory; strong potential to drive revenue and adoption in marketing tech.

5

Director / VP, Generative AI Product Management (Platform) at a Large Tech Company82% fit

PM and platform-building pedigree in GenAI with enterprise impact; suitable for organizations scaling AI platforms and governance globally.

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