Shivanku (Shiv) Misra
Big Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Head of AI & Automation @ McKesson | Top 30 Innovator | DataIQ 100 | CTO | CDO
Globally recognized technology executive driving enterprise AI, data, and platform transformations with direct P&L impact. Lead Enterprise AI, Analytics, and Automation at McKesson ($400B+), owning the end-to-end technology stack powering AI-driven operations. Accountable for AI strategy, platform architecture, data infrastructure, and production deployment—partnering across engineering, infrastructure, and security to embed GenAI, machine learning, and automation into how the business runs. Operate at the intersection of AI and enterprise engineering—scaling cloud-native platforms, MLOps, and agentic systems with governance, resilience, and speed. Convert fragmented experimentation into a focused set of high-impact bets and scales them into durable competitive advantage. Previously built and scaled modern data and AI ecosystems across PayPal, CVS Health, Hilton, Heineken, and The Coca-Cola Company—delivering $4B+ in business value through AI-led growth, platform transformation, and operating model redesign. Board Director at American Society for AI, Editorial Board Member at CDO Magazine, and Advisory Board member for the University of Maryland MSBA—shaping the future of enterprise AI, platform strategy, and responsible adoption.
Northwestern University - Kellogg School of Management
Business Administration and Management, General
N/A – Present
IMI Delhi
MBA, Marketing
N/A – Present
University of Lucknow
Bachelor of Science (B.S.), Mathematics
N/A – Present
Marriott International
Managing Vice President, Data, AI & Emerging Technologies
May 1, 2026 – Present
McKesson
Global Head of AI & Automation
February 1, 2026 – May 1, 2026
United States
American Society for AI
Member Board of Directors
January 1, 2025 – Present
McKesson
Enterprise VP, AI & Advanced Analytics
March 1, 2024 – February 1, 2026
United States
American Society for AI
Distinguished Member
January 1, 2024 – Present
CDO Magazine
Global Board Member
January 1, 2024 – Present
Forbes Technology Council
Council Member
January 1, 2024 – January 1, 2025
University of Maryland - Robert H. Smith School of Business
Advisory Board Member
January 1, 2023 – Present
McKesson
VP, Advanced Analytics, Data Governance & Platforms
November 1, 2022 – March 1, 2024
United States
Gannett | USA TODAY NETWORK
Global VP, Head of Customer Experience & Retention
May 1, 2022 – November 1, 2022
Washington DC-Baltimore Area
Gannett | USA TODAY NETWORK
Vice President, Digital Customer Retention
May 1, 2021 – May 1, 2022
Washington DC-Baltimore Area
CVS Health
Head of Analytics & Data Science, Medicare Retention
January 1, 2020 – January 1, 2021
Hilton
Sr. Director, Head of Data Science & Anaytics, Marketing & Digital
January 1, 2019 – June 1, 2020
Washington D.C. Metro Area
The HEINEKEN Company
Chief Data & Analytics Officer, Director, USA
January 1, 2017 – January 1, 2019
Greater New York City Area
PayPal
Senior Product Manager, Reporting & Analytics
January 1, 2015 – January 1, 2017
Baltimore, Maryland Area
IGT
Analytics Manager, Marketing
January 1, 2014 – January 1, 2015
Providence, Rhode Island Area
Dell Technologies
Analytics Manager, Mu Sigma
January 1, 2012 – January 1, 2014
Austin, Texas Area
The Coca-Cola Company
Analytics Consultant & Team Lead, Strategy & Insights
January 1, 2009 – January 1, 2012
Greater Atlanta Area
Asian Paints
Business Lead, Sales and Supply Chain
January 1, 2007 – January 1, 2009
International Management Institute - IMI
Founder & President, Media Cell
January 1, 2006 – January 1, 2008
National Housing Bank
Business Analyst
January 1, 2006 – January 1, 2007
Prasar Bharati
Television Producer
January 1, 2003 – January 1, 2006
India
Kellogg Executive Scholar Certificate
Kellogg Executive Education
June 23, 2026 – Present
Business Leadership in the Age of Disruption
Kellogg Executive Education
June 23, 2026 – Present
AI Applications for Growth
Kellogg Executive Education
June 23, 2026 – Present
The Leader Within
Kellogg Executive Education
June 23, 2026 – Present
OKR Foundations
Ally.io, a Microsoft Company
June 23, 2026 – Present
Growth Marketing Strategist Certification
Section
June 23, 2026 – Present
Mathematical Training and Talent Search (MTTS)
Panjab University, Educational Institution, Chandigarh
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's extensive experience across diverse industries (healthcare, hospitality, media, finance, consumer goods) and their involvement in various professional boards and councils suggest a high degree of adaptability and a broad perspective. Their history of building teams and establishing new functions (e.g., AI labs, data departments) indicates a proactive and entrepreneurial mindset, which could be a strong cultural fit for organizations looking to innovate and scale. The focus on driving measurable business value through data and AI aligns with performance-driven cultures. However, the role of 'Big Data Engineer' typically requires a more hands-on, individual contributor profile, whereas the candidate's recent roles are highly executive and strategic. This might indicate a potential mismatch in day-to-day responsibilities and expectations.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and the ability to build and scale data/AI functions within large organizations. Their experience in driving significant financial impact through AI/ML initiatives suggests a results-oriented and commercially astute approach. The numerous board and council memberships indicate strong networking and influence within the AI and data community. The candidate's career progression shows a consistent upward trajectory into more senior and impactful roles, highlighting ambition and capability. However, the resume primarily focuses on strategic and managerial accomplishments rather than hands-on technical implementation, which might require further assessment for a 'Big Data Engineer' role that typically involves deep technical execution.