Associate Director, Decision Intelligence Tools & Solutions Solutions

Bristol Myers Squibb • Princeton, NJ

9d • Hybrid

About The Position

Bristol Myers Squibb is seeking an Associate Director, Decision Intelligence Tools & Solutions in Princeton, NJ. This role involves leading the evaluation, development, and enhancement of analytic capabilities in areas such as econometric modeling, segmentation, test-and-learn frameworks, customer analytics, and omnichannel marketing analytics. The position focuses on optimizing marketing strategies through performance monitoring, customer behavior analysis, and market trend assessment to ensure effective audience targeting. It also involves identifying opportunities to develop analytical tools using data science, AI, and machine learning, assessing business impact considering data limitations and market needs, and developing strategies for large-scale data collection to drive process improvements. The role provides strategic leadership in designing and implementing innovative analytical solutions aligned with commercial and marketing objectives, oversees technology adoption and performance measurement using platforms like AWS, Databricks, and Snowflake, and facilitates the integration of customer insights across departments. Additionally, the Associate Director will utilize predictive analytics and machine learning models for demand forecasting and operational efficiency, serve as a liaison between U.S. and Global Decision Intelligence leadership, and develop GenAI solutions for real-time support to commercial stakeholders.

Requirements

• Employer will accept a Bachelor’s degree or foreign equivalent in Statistics, Econometrics, Data Science, Business Analytics, or a related field, and 6 years of related work experience, of which 5 years must be progressive post-baccalaureate related work experience.
• Alternatively, the employer will accept a master’s degree or foreign equivalent in Statistics, Econometrics, Data Science, Business Analytics, or a related field, and 4 years of related work experience.
• Must have four (4) years of experience in implementing ML algorithms and statistical techniques including Power Analysis, Ridge Regression, Bayesian Regression, and Hierarchical Bayes Models.
• Must have four (4) years of experience in creating multivariate statistics and predictive models using SQL, or Python.
• Must have four (4) years of experience utilizing multiple data sources including Amazon Web Services (AWS), Databricks, and Snowflake.
• Must have four (4) years of experience designing web-based applications utilizing Figma, Python-Dash, Streamlit, or React.js for development.
• Must have four (4) years of experience implementing agile methodologies throughout the Software Development Lifecycle with Commercial or Digital Analytics in the life sciences industry.

Responsibilities

• Lead the evaluation, development, and enhancement of analytic capabilities related to econometric modeling, segmentation, test-and-learn frameworks, customer analytics, and omnichannel marketing analytics.
• Optimize marketing strategies by monitoring campaign performance, analyzing customer behavior, and assessing market trends to ensure effective audience targeting.
• Identify opportunities to develop analytical tools leveraging data science, artificial intelligence, and machine learning techniques.
• Assess business impact by considering data limitations, emerging market needs, ad-hoc events, and urgent measurement requirements.
• Develop strategies for large-scale data collection to identify operational inefficiencies and drive process improvements across the organization.
• Provide strategic leadership in designing and implementing innovative analytical solutions aligned with commercial and marketing objectives.
• Oversee technology adoption and performance measurement using platforms such as AWS, Databricks, Snowflake, and MLOps to accelerate data-driven decision making.
• Facilitate integration of customer insights across departments by collaborating with cross-functional teams and promoting knowledge sharing within the Decision Intelligence group on impact measurement best practices.
• Utilize predictive analytics and machine learning models to forecast demand fluctuations and improve operational efficiency.
• Serve as a liaison between the Decision Intelligence leadership teams for U.S. and Global markets to ensure alignment of strategy and analytics initiatives.
• Develop GenAi solutions to provide more real-time support to commercial stakeholders in their decision making.

Benefits

• Annual discretionary bonus
• Medical, pharmacy, dental, and vision care
• BMS Well-Being Account
• BMS Living Life Better
• Employee Assistance Programs (EAP)
• 401(k) plan
• Short- and long-term disability
• Life insurance
• Accident insurance
• Supplemental health insurance
• Business travel protection
• Personal liability protection
• Identity theft benefit
• Legal support
• Survivor support
• Flexible time off (unlimited, with manager approval)
• 11 paid national holidays
• 160 hours annual paid vacation for new hires
• 3 optional holidays
• Unlimited paid sick time
• Up to 2 paid volunteer days per year
• Summer hours flexibility
• Leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs
• Annual Global Shutdown between Christmas and New Years Day

What This Job Offers

• Job Type: Full-time
• Career Level: Manager