Associate Director, Decision Intelligence Tools & Solutions Solutions
Bristol Myers Squibb · Princeton, NJ · 4 days ago
$223k–$227k/yrFull-time
About the role
Challenging. Meaningful. Life-changing. Working at Bristol Myers Squibb is unique, offering opportunities for growth and development through innovative projects and high-achieving teams.
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.
Requirements
- Bachelor’s degree or foreign equivalent in Statistics, Econometrics, Data Science, Business Analytics, or a related field, with 6 years of related work experience, of which 5 years must be progressive post-baccalaureate related work experience.
- Alternatively, a master’s degree or foreign equivalent in Statistics, Econometrics, Data Science, Business Analytics, or a related field, with 4 years of related work experience.
- Four (4) years of experience in the following skills (which may be gained concurrently): Implementing ML algorithms and statistical techniques including Power Analysis, Ridge Regression, Bayesian Regression, and Hierarchical Bayes Models; Creating multivariate statistics and predictive models using SQL, or Python; Utilizing multiple data sources including Amazon Web Services (AWS), Databricks, and Snowflake; Designing web-based applications utilizing Figma, Python-Dash, Streamlit, or React.js for development; Implementing agile methodologies throughout the Software Development Lifecycle with Commercial or Digital Analytics in the life sciences industry.
Benefits
- Health Coverage: Medical, pharmacy, dental, and vision care.
- Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
- Financial Well-being and Protection: 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, and survivor support.
Pay
$222,768.00 - $226,670.00
Schedule
Telecommuting permitted up to three (3) days per week. Up to 10% domestic travel may be required based on business need.