Professional Overview
Pallaw Sharma served as Senior Vice President and Chief Data and Analytics Officer (CDAO) at Cisco Systems, Inc. until mid-2024, leading the company’s enterprise-wide data strategy and AI initiatives. Based in the San Francisco Bay Area, Sharma was a pivotal figure in driving Cisco’s digital transformation through data and analytics capabilities. He was Cisco’s first appointed Chief Data & Analytics Officer, a role in which he shaped industry trends, fostered innovation, and delivered measurable business value by leveraging data as a strategic asset.
Role and Responsibilities at Cisco
- Led Cisco’s enterprise-wide AI and data strategy and execution, integrating data-driven decision-making into critical business processes to accelerate digital transformation initiatives.
- Championed the use of advanced analytics, automation, and AI, including the responsible integration of Generative AI and Large Language Models within Cisco’s operations.
- Actively engaged in industry thought leadership and knowledge sharing, featuring in Cisco’s blogs and panels such as The Economist’s Data Dividend panel, emphasizing data/AI as foundational for organizational digital acceleration.
- Recognized for supporting and elevating Cisco’s internal teams, notably congratulating the AI and Search group for the 2022 Elastic Excellence Award for Enterprise Search Business Transformation—a project that improved search accuracy and support efficiency at Cisco.
- Participated in high-profile discussions and events such as Cisco Live 2023, focusing on how Cisco uses AI to simplify, secure, and connect its hybrid cloud and on-premise environments.
Career Trajectory
- Prior to June 2024, Sharma’s leadership at Cisco as SVP, Chief Data and Analytics Officer established him as a visionary executive in data capabilities within one of the world’s largest technology companies.
- In June 2024, he transitioned from Cisco to become Chief Executive Officer at Accellor, a company specializing in leveraging AI and data capabilities to transform businesses.
- His career spans over 20 years in the AI and analytics domain, with a demonstrated track record of building data-first organizations and attracting diverse talent focused on advanced data science and engineering.
Academic Background
- Holds an MBA from the Indian Institute of Management, Calcutta, a premier institution in India.
- Earned a Bachelor of Engineering from the National Institute of Technology Raipur.
Skills, Expertise, and Professional Interests
- Expertise includes data science, AI-driven business transformation, digital analytics, enterprise data strategy, and automation.
- Skilled in product management, agile methodologies, and DevOps disciplines, ensuring sustainable and scalable delivery of data products and insights.
- Known for mentoring and talent development, combining strong technical acumen with people management to cultivate data-savvy organizational cultures.
Industry Recognition & Influence
- Influential thought leader featured across Cisco blogs, LinkedIn posts, and industry panels, often discussing trends in analytics and innovation in data usage.
- Endorsed by peers for his business acumen in applying data science to solve complex challenges and for catalyzing supply chain improvement through data science in prior roles (e.g., Johnson & Johnson).
- Maintains an active professional network with 500+ LinkedIn connections and over 3,400 followers, highlighting broad recognition across the tech and analytics communities.
Language Proficiency
- Fluent in English and Hindi, enabling effective communication across diverse regions and teams.
Sharma’s tenure at Cisco was marked by strategic leadership in embedding AI and advanced data analytics into core business operations, driving digital transformation at scale. His move to CEO at Accellor indicates a continued focus on pioneering AI and data-driven business transformation. His experience and visibility in implementing large-scale analytics initiatives position him as a key decision-maker with strong interest and authority in AI, digital analytics, and enterprise data strategies.
