
Cencora advocates for Women in Data® because diverse perspectives make our data work stronger, more responsible, and more relevant to the people and communities we serve. Data and analytics inform decisions across healthcare and supply chain that can affect access, quality, and outcomes, so it matters who is asking the questions, shaping the priorities, and designing the solutions. By supporting women to enter, develop, and lead in data roles, we widen the talent pipeline, improve retention of experienced experts, and build teams that challenge assumptions and reduce blind spots. This also helps us create more inclusive insights and more trustworthy analytics and AI, by recognising and addressing potential bias in data and decision-making. Ultimately, championing Women in Data® aligns with our purpose: to improve the lives of people and animals, while building a culture where everyone can contribute, grow, and lead.
Cencora is a leading pharmaceutical solutions organization centred on improving the lives of people and animals everywhere. Cencora helps bring your aspirations, innovations, and essential services to people and animals around the world. We have industry-leading solutions that accelerate better health outcomes from concept to delivery for global communities with local impact.
We are united in our responsibility to create healthier futures. When we deliver on our purpose, we make a positive impact on healthcare in communities everywhere. Together with our customers, the Cencora family of companies works in service to patients. We design and deliver solutions for unparalleled access, efficiency, and reliability to move health forward.
Emma Bengtsson has worked across several roles in IT, from bid and project management to business analysis and business intelligence. Early in her career, she thrived on tight deadlines and competing for large bids. After becoming a mother, the lack of predictability wasn’t a good fit, so she started looking for roles with more stability and the ability to plan ahead.
Her curiosity for data took off during a health-sector data platform bid, where she saw how data can improve decisions and make a real difference in people’s lives. She later began her data career as a Power BI analyst and quickly loved how data can uncover insights and support better decisions. She especially enjoyed working closely with the business to understand needs, translate them into data, and see the impact when the right insight reaches the right people.
Today, she is the Data Lead in Norway, focused on building a robust, structured, and future-proof data foundation, starting with data governance and master data management to enable faster insights, AI, and smarter decision-making.
Linkedin: www.linkedin.com/in/bengtssonemma
Abhi recalls that someone once said “that the most influential person is the one who can tell a good story”. It made her immediately think of data and the power of storytelling data has. Her path and passion to data started in childhood with a love for Math. Exploring math for fun and competitively in younger years built a steeping in STEM which led to a Bachelor’s in Electrical Engineering and eventually a Masters in Computer Science when she discovered my love for computer science during my professional years.
What she had not have realized in her early professional years of the path she was on makes perfect sense to her to thread the dots now. It helps her realize the purpose of the countless hours of coding in ABAP on SAP ERP screens as an application developer building products for SAP Labs India or spending hours troubleshooting SAP Business Warehouse data problems at New York Power Authority , a NY state federal agency. In the early years what felt like solving a problem for a task at hand has over the years helped her understand the purpose of my work.
Today she leads a Delivery team as Director, Enterprise Data & Analytics at Cencora. The core Cencora’s mission is “We are united in our responsibility to creating healthier futures”. Our mission is guided by principles of being transparent, humble and putting our customers and people first. Data empowers Abhilasa’s team to live these values every day. She is amazed to see the business data products built by our teams in collaboration with our partners and the business value it brings. Coming from technology background, she sees our Databricks data platform offering to our customers, internal and external as a data product. Like all good data products, we have focused attention on its most important attributes/pillars of data quality, data governance, data fluency to name a few.
In addition to her Data & Analytics role, she chairs the Women’s Impact Network (WIN) ERG at Cencora with a strong group of women leaders where our mission is to empower women in their career journey, personal and professional growth.
Being a STEM enthusiast, she coaches her son’s Odyssey of the Mind team to infuse the spirit of science during their early years. In her free time I also serve on the board of Garden of Health food bank to help disadvantaged communities in Pennsylvania.
She loves the way data can shape how we operate in every realm of life. What once required specialized skills to produce valuable insights is now more accessible to common people with AI. Every step of her career has excited her about data through its evolution in data mining , data science and now more than ever with AI. Used in the right way it brings endless potential and possibilities to support purposes both big and small.
As the Business Insight Partner working with Upstream and Category stakeholders Wen Ti specialises in translating commercial questions into clear, actionable reporting that drives better decisions. She brings together data, people, and purpose through close collaboration with stakeholders across the business.
Wen Ti’s career spans several reinventions — from earning a law degree to roles in corporate banking, retail management, buying and merchandise planning, pharmaceutical market research, and managing contract sales teams — before moving into Business Insights at Cencora Alliance Healthcare. Across these varied positions, a consistent thread has been her reliance on data to guide sound, evidence‑based decisions.
Her work sits at the intersection of analytics and storytelling: understanding what teams really need, shaping requirements into robust reporting frameworks, and ensuring outputs are usable and aligned to commercial priorities. With experience spanning data insight, commercial management, stakeholder engagement, and cross‑functional collaboration, she helps teams see the story behind the numbers and the opportunities behind the noise, enabling better decisions at every level.
Wen Ti welcomes all efforts at making diversity and inclusion real, not only for individual wellbeing but also team cohesion which can only drive innovation and productivity.
LinkedIn: https://www.linkedin.com/in/wen-ti-leong-55691a13/
Marion leads Data and Analytics for Cencora’s International Business Group. Her focus is on increasing the business value which is generated from data and analytics products to ensure insights are actionable.
Working with healthcare data brings an added sense of purpose and responsibility. The decisions we enable can ultimately impact patients, providers, and access to medicines. She places strong emphasis on trusted data foundations, ethical use, and inclusive thinking so our data products support better outcomes for everyone. She’s particularly passionate about using data to help close gaps that affect women and underrepresented groups growing diversity within data and analytics.
Marion doesn’t have a degree, but she has a breadth of experience across a variety of roles that have shaped her journey to becoming a Data Leader. She has a ‘diploma in Commercial Computing’ which included several programming languages as well as business topics including marketing and law.
Her route into data has been long and non-linear. She has worked as a tester, engineer, Project Manager, Program Manager, Public Sector Bid Manager, and Director of Systems and Processes before moving into Data & Analytics leadership. Along the way she strengthened programming and database skills, while developing strong stakeholder management, process improvement, negotiation, and planning capabilities. Those skills now underpin her ability to shape a clear data strategy, build teams and ways of working, and translate analytics into measurable business value.
She believes anyone can become a data professional. The more diverse our teams are including background, perspectives, and lived experience the better our decisions and outcomes will be.
As an advocate for Women in Data, Marion is proud that Cencora is part of this community and committed to helping more women of any age see data as a natural, accessible career path with strong long-term prospects.
She wants to support the women already working in data, to speak up, be visible, and grow into leadership. For Marion, Women in Data is not only about representation; it’s about creating the conditions where people can thrive, and ensuring the work we do is strengthened by a wider range of voices. That’s how we’ll build more inclusive data products, better partnerships, and better outcomes for Cencora and for the patients we ultimately serve.
Natalija holds a BA in Business Administration from LCC International University in Lithuania and an MA in Organizational Leadership, Policy, and Development from the University of Minnesota (USA), where she studied as a Fulbright Scholar — a highly competitive, prestigious international academic award. Before moving into analytics, she built a successful career in higher education, serving as Associate Dean for International Education and later as Vice President of Human Resources.
Across those roles, Natalija was consistently drawn to improving processes, reducing friction, and helping teams spend less time on repetitive tasks and more time on meaningful conversations and decisions. A technology enthusiast and a firm believer in continuous improvement, she began exploring business intelligence and data analytics, developing skills in tools such as Power BI and learning how to translate business questions into measurable insights. She also cared deeply about creating inclusive decision-making: using data as a common “anchor” so that outcomes reflect evidence and diverse perspectives, not only the loudest voice in the room.
Pivoting into a new field took courage, especially after years in senior leadership. Natalija leaned into community and mentorship through the Women Go Tech program and continued to learn by doing, step by step. That experience made her a strong advocate for initiatives that support women in tech by sharing honest stories and practical guidance about what it really feels like to take a leap of faith — even as a mid-career professional.
Today, Natalija is a Business Intelligence Analyst at World Courier (Cencora), where she leads multiple Finance projects as well as the development of a Carbon Calculator tool. Her leadership background and interpersonal communication skills remain a key advantage: she collaborates well across teams, builds trusted stakeholder relationships, and helps groups align on definitions, priorities, and next steps so analytics work drives adoption and impact.
Her story is a reminder to women transitioning into data: your previous experience is often more transferable than you think — and paired with the right community and perseverance can turn a bold career move into exciting new opportunities.
Esther García Escagüés is a data and AI leader passionate about helping organizations and people, unlock value through modern data platforms. Based in Zaragoza (Spain), she has built a career spanning software engineering, quality assurance, and data, with strong international experience working across regions and teams. Her work has focused on driving standardization, automation, and continuous improvement to improve delivery at scale.
Esther is a Data Platform Senior Solution Engineer and currently serves as Data Platform Team Lead, leading a team dedicated to researching, piloting, and implementing new capabilities in Databricks, with particular emphasis on AI-driven advancements. She bridges deep technical expertise with a practical mindset, making emerging technologies accessible, reliable, and impactful for real-world use cases.
Esther is also used to working with highly diverse teams – across gender, cultures, and backgrounds – and has consistently helped create environments where people collaborate smoothly and perform at their best, strengthening alignment and improving shared outcomes.
LinkedIn: https://www.linkedin.com/in/esther-garc%C3%ADa-escag%C3%BC%C3%A9s-369/
Diane is a transformative data and technology leader with over 20 years of global experience shaping enterprise data strategy and modern architectures. As Vice President of Data, Analytics & AI Architecture at Cencora, she leads the enterprise vision for innovative data platforms and AI‑enabled capabilities that empower teams to make smarter, faster, and more confident decisions.
Throughout her career, Diane has built and scaled architecture practices that tightly connect business goals with modern technology. She has shaped enterprise data strategies, championed governance frameworks, and promoted cloud‑native architectures that reduce complexity, unlock value, and accelerate digital transformation.
Diane is widely recognized for cultivating collaborative, diverse, and high‑performing teams. She is deeply committed to developing future data leaders—especially women—by creating environments where curiosity, technical excellence, and bold thinking thrive. Her approach blends strategic vision with pragmatic execution, ensuring innovation stays aligned to meaningful business outcomes.
Across roles at Cencora, Crown Castle, and U.S. Steel, Diane has driven lasting change while advocating for data literacy, responsible AI, and inclusive leadership. She believes that when women lead in data, organizations don’t just transform—they elevate. She is dedicated to opening doors, sharing knowledge, and shaping a more equitable and data‑driven future.