Summary
Overview
Work History
Education
Awards
Publications
PATENT
Timeline
Generic

Zahra Heidary

Princeton

Summary

Visionary leader with over 20 years of experience driving data-centric strategies across Commercial and R&D functions in the pharmaceutical industry. Proven ability to define and lead enterprise-wide AI and ML strategies that align with business priorities, accelerate transformation, and deliver measurable impact.

  • Enterprise AI Strategy: Led large-scale AI initiatives across global organizations, integrating data science with business strategy to drive innovation and operational excellence.
  • Generative AI & LLMs: Spearheaded deployment of GenAI and Large Language Models (LLMs) at scale, advancing omnichannel engagement, field force effectiveness, and customer intelligence.
  • AI Governance & Ethics: Champion of responsible AI, ensuring regulatory alignment, model risk management, and ethical frameworks in highly regulated environments.
  • Data & Platform Strategy: Directed the design and scale-up of enterprise AI platforms and data ecosystems to support full ML lifecycles, governance, and cross-functional use.
  • Cross-Functional Influence: Trusted partner to senior leaders across Medical, Legal, Market Access, and Digital, embedding AI capabilities and driving enterprise-wide readiness.
  • Innovation Acceleration: Built and led high-performing teams, Centers of Excellence, and innovation councils to scale emerging technologies and drive cultural transformation.

Overview

20
20
years of professional experience

Work History

Head of Data Science & AI, Executive Director

Novartis
East Hanover
04.2023 - Current
  • Defined and led the enterprise-wide AI strategy across commercial, medical, and analytics functions, aligning GenAI and ML initiatives with long-term business objectives, regulatory frameworks, and organizational capabilities to drive scalable, ethical innovation.
  • Responsible for developing and implementing Generative AI use cases within the Commercial sector, driving innovation and operational efficiency.
  • Led the US Generative AI Council, ensuring adherence to ethical standards, regulatory compliance, and strategic alignment with organizational goals.
  • Oversee the development and management of multiple AI and analytical products in the Pharma and Oncology sectors in the US.
  • Lead and coordinate a skilled team of data scientists, AI engineers, and software engineers in executing large-scale transformative projects.
  • Provide technical leadership in framing, delivering, and deploying full-scale initiatives, ensuring alignment with organizational goals.
  • Led the development and implementation of Omni-channel marketing decision engines, predictive/descriptive models, and LLMs/Generative AI solutions, driving data-driven strategies and innovations.
  • Direct a multifunctional team focused on the productization of analytical solutions, enhancing their practical application and market impact.

Global head, Data Science (COE)

Mondelez International
East Hanover
04.2022 - 04.2023
  • Established and led a global data science team spanning the US, LA, AMEA, and EU.
  • Created a data science center of excellence to support data scientists embedded in the business.
  • Oversaw the design, development, industrialization, and management of AI-driven data and predictive solutions utilizing advanced machine learning techniques.
  • Created a multi-year data science roadmap to transform business operations.
  • Established a comprehensive framework for enterprise-wide end-to-end data life cycle management and data governance.

Director Data Science AI & Innovation

Novartis
East Hanover
01.2021 - 04.2022
  • Directed and managed the Decision Engine project, a pivotal component for omnichannel marketing personalization, with a specialized focus on field force optimization and developing sophisticated strategies for Non-Personal Promotion (NPP) next best actions.
  • Redefined traditional feedback processes into leading indicator customer experience measurements.
  • Led a global team of Voice of Customer (VoC) strategists to measure the customer experience across the customer journey.
  • Developed a decision science algorithm uncovering relationships between execution and performance.
  • Developed a decision science algorithm that uncovered a clear relationship between execution & performance.
  • Fostered joint & interactive relationships between US Pharma & academic partners and facilitate collaborative and scientific dialogue by leveraging an understanding of their strategic direction, functionality and suitability to serve as a reliable thought partner to Commercial Acceleration group.
  • Built an hub innovation for innovative methodologies, specifically to idea incubation to identify solid and measurable criteria.

Senior Manager/Associate Director, Data Science

Otsuka pharmaceutical
Princeton
09.2017 - 12.2020
  • Managed analytical budget and led ‘ innovation digital accelerator lab’ designed to generate evidence about the feasibility and benefit of including emerging computational and technological approaches into the formal digital medicine product roadmap.
  • Partnered closely with Medical Affair, HEOR team to provide the best scientific engagement, strategic thinking, and operational excellence.
  • Assembled matrix team and executed various projects where resulting algorithms pushed into the digital product pipeline.
  • Managed a team of software engineers to build data processing and storage platform to accommodate the unique needs of digital medicine projects and commercial data.
  • Developed a social listening model to gain knowledge about digitally-appropriate patients.

Risk Modeling

BMO Harris Bank
Chicago
01.2016 - 09.2017
  • Led the development of data infrastructure to contextualize and integrate data across the commercial sector.
  • Identified forecasting needs for all parts of forecasting and execute calculations, scenario planning, sensitivity across data sources and model
  • Managed communication and gain alignment across teams in relation to forecasting results.
  • Collaborated across the functionally to understand data, IT and business constraints to develop working data models which can be used to measure key processes.

Risk Modeling

GE Capital
Chicago
09.2014 - 01.2016
  • Led the team of Model developer responsible for the entire modeling process, from data collection, and synthesize complex information, preparation through implementation and on-going monitoring.
  • Core team member for reducing the number of active Equipment Finance models in place through collaborative modeling efforts with modeling team members worldwide.
  • Built a Loss Given Default (LGD), AIRB, and IFRS9 model for Transportation Finance (tier-one model: over $10B in exposure).
  • Articulated a vision and roadmap for the exploitation of data as a valued corporate asset
  • Designed, prototyped and tested machine learning and predictive analytics models.
  • Led the creation and coordination of best practices and data standards/governance globally.
  • Ensured that all methodology and documentation pass model governance and federal requirements.

Research Assistant

University of Illinois at Chicago
Chicago
09.2012 - 12.2014
  • Developed an efficient and novel FEM formulation of the problem of wave propagation and attenuation along the length of axisymmetric pipes under non-axisymmetric loadings such as leaks or new cracks using Finite Element Analysis.
  • Developed multi-physics models of structural and piezoelectric physics for quantitative Acoustic Emission (AE) testing.
  • Coupled spectral element modeling (SEM) and absorbing boundary condition (ABC) to study elastodynamic problems at large structural systems.
  • Hybrid State-Detection System for Gearbox Component funded by NAVAIR.
  • Developed an algorithm for analysis of Acoustic Emission signals in GlidCop Fatigue Study supported by Argonne National Laboratory.
  • Identified the boundary domain variables for eliminating reflections from the sub-domain formulation of the structure.
  • Validated the formulation with the conventional approach and an experimental program.

Senior Manager Scientist

MMD Engineers
Chicago
12.2005 - 12.2010
  • Developed prognostic and health management (PHM) platform, where algorithms were used to detect anomalies, diagnose faults, and predict remaining useful lifetime (RUL) of structures.
  • Formulated, implemented, tested, and validated predictive models, and implement efficient automated processes for producing modeling results at scale.
  • Developed the crack detection algorithm in orthotropic bridge decks using Acoustic Emission
  • Managed a team of engineers through research, technical design, and implementations.

Education

Ph.D - Civil Engineering

University of Illinois at Chicago
09.2014

B.S - Mathematics

University of Bahonar, Iran
09.2005

Awards

BIZ X Award winners: A special award that recognizes individual associates who stepped up and took big, bold, actions outside of their normal job responsibilities to achieve extraordinary results for customers, patients and our business (2021), Above & Beyond Award for taken a leadership role and delivered in an uncertain environment (2015), UIC Chancellor’s Graduate Research Fellowship for interdisciplinary research (2013-2014), UIC Research Forum Competition Award under Life Sciences/Engineering Category (2013), Graduate Student Fellowship for NSF CMMI Engineering Research Conference (2012), Ranked among top 0.01 % of national entry college exam in Iran (2000), Selected as one of the national students Mathematics Olympiad test (1997)

Publications

  • Z. Heidary, J. Cochran, T. Strickland, J. Knights “A Rest Quality Metric Using a Cluster-Based Analysis of Accelerometer Data and Correlation With Digital Medicine Ingestion Data: Algorithm Development” JMIR Form Res 2021;5(3):e17993,doi: 10.2196/17993
  • J. Cochran, Z. Heidary, J. Knights “ Characterization of activity behavior using a digital medicine system and comparison to medication ingestion in patients with serious mental illness,” npj Digital Medicine volume 4, Article number: 63 (2021)
  • J. Knights, Z. Heidary, T. Strickland, M. Ramanathan “Evaluating digital medicine ingestion data from seriously mentally ill patients with a Bayesian Hybrid Model,” npj Digital Medicine 2, Article number: 20 (2019)
  • Z. Heidary, D. Ozevin “On the Influence of Boundary Reflections to the Characteristics of Elastic Waves for Pattern Recognition Methods,” Journal of NDT&E international, DOI: 10.1007/s10921-014-0271-7.
  • Z. Heidary, D. Ozevin “The Selection of Polynomial Order and Element Size for the Spectral Element Formulation of High Frequency Elastic Wave Equation” Journal of Sound and Vibration, submitted.
  • Z. Heidary, D. Ozevin “Efficient computation of wave propagation along axisymmetric pipes under non-axisymmetric loading,” Journal of Finite Elements in Analysis and Design, Vol. 86, pp.81-88, 2014.
  • D. Ozevin, Z. Heidary “Acoustic Emission Source Orientation Based on Time Scale,” Journal of Acoustic Emission, Vol. 29, pp. 123-132, 2011.
  • Z. Heidary, T. Strickland, J. Knights “Quality of Rest and Treatment Adherence in Seriously Mentally Ill Patients Receiving Treatment With a Digital Medicine System,” ASCP 2019 Annual meeting.
  • Z. Heidary, D. Ozevin “High Frequency Elastic Wave Propagation in Large Structures using Spectral Elements and Perfectly Matched Layers” SPIE NDE/Smart Structures International, March 2014.
  • Z. Heidary, D. Ozevin “Damage Quantification using Wave Propagation Data with Integrated Numerical and Experimental Approach,” ASME 2013 International Mechanical Engineering Congress, November 2013.
  • Z. Heidary, D. Ozevin “The Effectiveness of Spectral Element Method for High Frequency Wave Propagation” SPIE NDE/Smart Structures International, March 2013.
  • Z. Heidary, D. Ozevin, H.Yalçınkaya “2D Numerical Modeling of Pipeline Structures with Non-Axisymmetric Loads and Spectral Elements for Identifying Reliable Sensor Spacing ,“International Workshop on Structural Health Monitoring, IWSHM 2013 Stanford, CA., September 2013.

PATENT

  • Z. Heidary and J. Knights ”SYSTEM AND METHOD FOR GENERATING AN ADHERENCEVOLATILITY METRIC”, filed on July 1, 2019 as application 62/869,525.
  • Z. Heidary and J. Knights ”A DYNAMICALLY DISTORTED TIME WARPING DISTANCE MEASURE BETWEEN CONTINUOUS BOUNDED DISCRETE-TIME”, filed on June17, 2019 as application 62/862,644.
  • Z. Heidary and J. Knights ”SYSTEM AND METHOD FOR BEHAVIORAL ANOMALY DETECTION BASED ON AN ADHERENCE VOLATILITY METRIC”, filed on February 4, 2019 as application 62/970,095.

Timeline

Head of Data Science & AI, Executive Director

Novartis
04.2023 - Current

Global head, Data Science (COE)

Mondelez International
04.2022 - 04.2023

Director Data Science AI & Innovation

Novartis
01.2021 - 04.2022

Senior Manager/Associate Director, Data Science

Otsuka pharmaceutical
09.2017 - 12.2020

Risk Modeling

BMO Harris Bank
01.2016 - 09.2017

Risk Modeling

GE Capital
09.2014 - 01.2016

Research Assistant

University of Illinois at Chicago
09.2012 - 12.2014

Senior Manager Scientist

MMD Engineers
12.2005 - 12.2010

Ph.D - Civil Engineering

University of Illinois at Chicago

B.S - Mathematics

University of Bahonar, Iran
Zahra Heidary