Senior Director, Data Science & Gen AI

Job Description

Responsible for setting the enterprise technical and analytic strategy for Generative AI for BCBSA’s BSI and national data assets, including long-term vision, architectural direction, capability roadmap, and standards for scalable, responsible AI embedded across all products. 

Serve as a trusted advisor to executive leadership, with accountability for key technical and analytic decisions, translating complex models and analytic findings into actionable insights that inform and activate business strategies. 

Lead and individually contribute to large-scale data science initiatives, including end-to-end machine learning and GenAI model development, experimentation, and implementation. 

Act as the subject matter expert in computational algorithms, model evaluation, and advanced data interpretation to assess performance, tradeoffs, and impact. 

Lead and manage data science and machine learning R&D efforts across multiple product lines, data domains (medical, pharmacy, emerging clinical data), and customer-facing platforms. 

Partner with Product Strategy to identify and apply Generative AI and advanced analytics within the product development process, with a focus on emerging healthcare trends and priorities. 

Collaborate closely with Data Engineering to design scalable applications and optimal data architecture leveraging structured and unstructured data. 

Establish and govern enterprise standards and best practices for analysis plans, ensuring rigor, reproducibility, ethical AI use, and compliance with regulatory and security requirements. 

Drive education and adoption of data science and Generative AI across the organization by communicating vision, use cases, and value. 

Manage and develop senior data science talent, supporting professional growth and succession readiness. 

Manage external analytics vendors and partnerships, including relationships with AI vendors and academic experts in LLMs and NLP. 

Work with executive leadership and cross-functional stakeholders to define requirements and develop AI and analytics R&D and strategic roadmaps. 

Evaluate and implement new AI, ML, and Generative AI tools and technologies to enhance organizational capability and competitiveness. 

Oversee the development of training datasets, data preprocessing pipelines, and testing frameworks to support advanced analytics and AI solutions.

The posting range for this position is:
$215,000.00-$295,000.00

• Strong fundamental knowledge of probability theory, stochastic systems, Bayesian inference, predictive modeling, supervised/unsupervised/deep learning Natural language processing experience, particularly in the biological and medical domains.

• A record of successful formulation, approval, and implementation of organizational strategies around advanced analytics in AI/ML.

• Expertise in using machine learning and analytic tools such as SQL, R, and/or Python to analyze data in applied professional projects.

• Familiarity with relational databases (e.g., MS SQL, Oracle, Postgres, MySQL).

• Expertise  in visualizing and manipulating big data sets.  

• Strong verbal and written communications skills with the demonstrated ability to explain complex technical concepts to a lay audience.

• Demonstrated ability to deliver successful, profitable, repeatable, referenced analytic solutions.

• Proven ability to develop staff to deliver world-class analytic solutions.  

• Knowledgeable in complex modeling topics, advanced statistics/biostatistics, algorithm design, and ML software packages. 

The posted salary range is the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the hiring range and this hiring range may also be modified in the future. A candidate’s position within the hiring range may be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs. This job is also eligible for annual bonus incentive pay. 

We offer a comprehensive package of benefits including paid time off, 11 holidays, medical/dental/vision insurance, generous 401(k) matching, lifestyle spending account and many other benefits to eligible employees. 

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.