Shreenivasa Rajanala is Global Head of Data Analytics and AI Foundations at Bayer AG, where he leads the development of enterprise data, analytics, and AI capabilities to support commercial decision-making and value creation across the organisation.
He brings more than 14 years of experience spanning consulting and industry roles, with a career built around applying data and statistical modelling to shape business outcomes. Shreenivasa began in consulting, working across a wide range of sectors including pharmaceuticals, life sciences, retail, consumer goods, technology, banking, and insurance. In these roles, he partnered closely with senior leaders to maximise the value of data, delivering measurable outcomes by building and coordinating high-performing internal and partner teams.
At Bayer, Shreenivasa has focused on establishing scalable global foundations for data, analytics and AI. His remit includes demonstrating return on investment to inform business prioritisation, as well as developing AI solutions designed to maximise value for stakeholders and, ultimately, patients.
A consistent theme in Shreenivasa’s leadership is a focus on adoption and impact rather than experimentation. He emphasises solving tangible business problems, targeting the highest-value opportunities and ensuring analytics and AI are embedded into day-to-day decision-making.
As a data and AI leader, which traits and skills do you think matter most, and which of those have been most influential for you in your current position?
“The key leadership traits for data and AI leadership are around strategic vision, communication, adaptability, and resilience, with integrity as a core. Each of these are critical to a successful transformation across the breadth of the organisation.
“Each has a critical role to play in success, from setting clear strategic priorities and must wins, to communicating benefits and value add to every part of the business, to resilience in treating different solutions and adapting to changing technology advances.”
Reflecting on your career, what is one non-traditional piece of advice (outside of technical skills) you would give to an aspiring data or AI leader aiming for the C-suite?
“Focus on the business challenges and drivers as the core driver; technology, data, and AI will follow suit.”
Click here to read the full profile and learnings, exclusively for DataIQ subscribers. Get in touch to become a subscriber and access unique events, insights, and more.