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Michael Sobotka Email & Phone Number

Executive Director, Analytical AI at Bristol Myers Squibb at Bristol Myers Squibb
Location: Richboro, Pennsylvania, United States 11 work roles 3 schools
1 work email found @bms.com LinkedIn matched
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Current company
Role
Executive Director, Analytical AI at Bristol Myers Squibb
Location
Richboro, Pennsylvania, United States

Who is Michael Sobotka? Overview

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Quick answer

Michael Sobotka is listed as Executive Director, Analytical AI at Bristol Myers Squibb at Bristol Myers Squibb, based in Richboro, Pennsylvania, United States. AeroLeads shows a work email signal at bms.com and a matched LinkedIn profile for Michael Sobotka.

Michael Sobotka previously worked as Executive Director, Analytical AI at Bristol Myers Squibb and Senior Director, Commercialization Data Science & AI Predictive Solutions at Bristol Myers Squibb. Michael Sobotka holds Master Of Business Administration (Mba), Strategy & Analytics from Carnegie Mellon University - Tepper School Of Business.

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Email format at Bristol Myers Squibb

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{first}.{last}@bms.com
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Profile bio

About Michael Sobotka

Dedicated to evolving enterprise AI from academic concepts and isolated projects into a robust capability that delivers measurable and meaningful business outcomes. Proven track record as a leader of AI organizations and teams within Fortune 100 companies, driving strategic initiatives and fostering a culture of innovation.

Listed skills include Electrical Engineering, Python, Business Strategy, Machine Learning, and 26 others.

Current workplace

Michael Sobotka's current company

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Bristol Myers Squibb
Bristol Myers Squibb
Executive Director, Analytical AI at Bristol Myers Squibb
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11 roles

Michael Sobotka work experience

A career timeline built from the work history available for this profile.

Executive Director, Analytical Ai

Current

Lawrence Township, NJ, US

  • As the leader of the Analytical AI Organization, head a diverse team of over 60 BMS data scientists and machine learning engineers. Oversee global Analytical AI initiatives across all business units, driving innovative.
Sep 2024 - Present

Senior Director, Commercialization Data Science & Ai Predictive Solutions

Lawrence Township, NJ, US

  • Leader of a Data Science organization consisting of over 40 BMS data scientists and ML engineers. Responsible for global (USA and International) Commercialization Data Science across the full portfolio of therapy areas.
  • Collaborated with executive leadership to develop a compelling business case for an advanced machine learning solution that integrates multiple models to enhance customer engagement strategies. The business case was.
Jun 2023 - Sep 2024

Director, Commercial Data Science

Lawrence Township, NJ, US

  • Head a rapidly growing team of 8 BMS data science and machine learning professionals. This team serves as engagement leads with commercial leadership on strategic and innovative projects, while also functioning as an.
  • Spearhead a senior leadership-sponsored core innovation initiative that integrates applied machine learning with cross-functional business expertise to drive transformative solutions.
  • Scaled Dynamic Targeting, an internal innovation project that leverages machine learning predictions to enhance the effectiveness of healthcare provider (HCP) targeting for promotions across various therapy areas.
  • Drive the deployment of internally developed advanced data science and NLP tools, enabling user-friendly access to sophisticated capabilities, thereby scaling expertise across the organization.
  • Nominated as a core team member of the internal Innovation Accelerator, tasked with identifying, advising, and scaling innovative practices throughout BMS.
Jul 2021 - Jun 2023

Associate Director, Commercial Data Science

Lawrence Township, NJ, US

  • Served as the first employee in a newly established department dedicated to integrating advanced applied machine learning with pragmatic solution design, delivering incremental value to the commercial and marketing.
  • Focused on building and scaling an enterprise-grade Data Science team, fostering a culture of innovation and collaboration among data science experts.
  • Managed and grew team of data science experts
  • Utilized advanced machine learning techniques to predict key events in patient journeys, deploying a pioneering solution that transformed prospective guidance for the commercial and marketing teams and enabled.
  • Led one of four key innovation initiatives sponsored by senior commercialization leadership, advancing the application of machine learning to enhance understanding and prediction of patient journeys.
  • Leveraged Natural Language Processing (NLP) and Principal Component Analysis (PCA) to extract actionable insights from documents and comments, driving strategic decision-making and identifying underlying themes.
May 2020 - Jun 2021

Associate Director, Advanced Modeling

Lawrence Township, NJ, US

  • Spearheaded the development of an NLU solution leveraging BERT embeddings and XGBoost to enhance Competitive Intelligence and prioritize Business Development efforts, driving targeted strategic initiatives.
  • Led in-depth marketing mix modeling and promotional response analysis for key products, including Eliquis and Orencia, optimizing marketing strategies and improving ROI.
  • Implemented rigorous test and control designs to measure campaign effectiveness, delivering actionable insights that informed strategic decision-making and enhanced overall marketing performance.
Sep 2019 - May 2020

Senior Manager, Advanced Modeling

Lawrence Township, NJ, US

  • Pioneered the development of the first Smart Alert system utilizing advanced machine learning techniques to predict patient journeys. This innovation optimized sales force activities by identifying the most effective.
  • Developed a predictive model using CNN-LSTM Recurrent Neural Networks to analyze medical policy restrictions, enhancing decision-making and compliance.
  • Led comprehensive marketing mix modeling and promotional response analyses for key products, including Eliquis and Orencia, driving strategic marketing initiatives and improving resource allocation.
  • Executed robust test and control designs to measure campaign effectiveness, ensuring data-driven insights and maximizing impact across marketing efforts.
Oct 2018 - Sep 2019

Manager, Advanced Forecasting

Lawrence Township, NJ, US

  • Designed and implemented a state-of-the-art time series forecasting solution that utilized a customized ensemble approach. This innovative tool integrated Holt-Winters Exponential Smoothing, Auto-ARIMA, Prophet, LSTM.
Jan 2018 - Oct 2018

Business Strategy

Allentown, PA, US

  • Internal Strategy and Data Science consultant
  • Spearheaded the corporate transformation from traditional analytics to cutting-edge data science and machine learning strategies, driving organizational growth and innovation
  • Served as a Subject Matter Expert in Machine Learning, guiding teams in the development and implementation of sophisticated analytical solutions.
  • Led the design and deployment of advanced machine learning solutions, leveraging technologies such as Deep Neural Networks, XGBoost, and Random Forest to enhance decision-making processes.
  • Developed custom machine learning frameworks for advanced time series forecasting, significantly improving predictive accuracy and operational efficiency.
  • Expert in statistical programming using Python and R, driving data-driven insights and fostering a culture of analytics within the organization.
Jul 2016 - Jan 2018

Business Solutions

Audubon, PA, US

  • Natural Language Processing (NLP)
  • Data Science with Python
  • Forecasting
Jun 2014 - Jul 2016
3 education records

Michael Sobotka education

Master Of Business Administration (Mba), Strategy & Analytics

Carnegie Mellon University - Tepper School Of Business

Master Of Science (M.S.), Electrical Engineering

Villanova University

Bachelor Of Science (Bs), Electrical And Electronics Engineering

Penn State University
FAQ

Frequently asked questions about Michael Sobotka

Quick answers generated from the profile data available on this page.

What company does Michael Sobotka work for?

Michael Sobotka works for Bristol Myers Squibb.

What is Michael Sobotka's role at Bristol Myers Squibb?

Michael Sobotka is listed as Executive Director, Analytical AI at Bristol Myers Squibb at Bristol Myers Squibb.

What is Michael Sobotka's email address?

AeroLeads has found 1 work email signal at @bms.com for Michael Sobotka at Bristol Myers Squibb.

Where is Michael Sobotka based?

Michael Sobotka is based in Richboro, Pennsylvania, United States while working with Bristol Myers Squibb.

What companies has Michael Sobotka worked for?

Michael Sobotka has worked for Bristol Myers Squibb, Ppl Corporation, Pjm Interconnection, and United States Department Of Defense.

How can I contact Michael Sobotka?

You can use AeroLeads to view verified contact signals for Michael Sobotka at Bristol Myers Squibb, including work email, phone, and LinkedIn data when available.

What schools did Michael Sobotka attend?

Michael Sobotka holds Master Of Business Administration (Mba), Strategy & Analytics from Carnegie Mellon University - Tepper School Of Business.

What skills is Michael Sobotka known for?

Michael Sobotka is listed with skills including Electrical Engineering, Python, Business Strategy, Machine Learning, Sql, Data Science, Data Analysis, and Big Data.

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