Product Delivery Lead - Commercial Data Science & AI

Role Summary

We're seeking an experienced, technically adept Product Delivery Lead to guide cross-functional teams in building and deploying data-driven products using machine learning and Generative AI within OBU. You will bridge technical execution and business strategy, delivering high-quality, reusable, and scalable solutions that drive value for commercial and medical functions while adhering to compliance and security standards.

Responsibilities

• Technical Leadership & Product Architecture: Act as a Product Architect, defining the technical vision and high-level design for our Oncology project workstreams for AI/ML, and GenAI products. Ensure solutions are scalable, secure, and maintainable.
• Advanced AI/ML Architecture: Drive the technical implementation of GenAI capabilities using MCP servers, A2A architecture using agentic architecture to deliver accurate, contextually relevant, and customized solutions for various OBU user personas.
• Data Strategy: Leverage expertise in modern data platforms like Databricks, AWS, Snowflakes and using architectural patterns like Knowledge Graphs to manage complex patient pathways in Oncology data.
• Technical Direction: Provide hands-on technical leadership and guidance across multiple teams, including Data Science, Data Engineering, API Development/Microservices, UX, and ML/GenAI Ops.
• Promote Reusability: Champion and enforce best practices for code quality, component reusability, and modular design to accelerate development and reduce technical debt.
• Risk & Compliance Oversight: Proactively engage with Compliance and Security Teams throughout the product lifecycle to ensure all solutions adhere to stringent regulatory requirements and internal security policies.
• Secure by Design: Embed security and privacy requirements into the architectural design from the start, overseeing technical implementation to ensure compliance is non-negotiable and does not impede delivery timelines.
• Cross-Functional Delivery: Lead the technical delivery of complex products from concept through launch, ensuring on-time and high-quality results.
• Oncology Business Partnership: Work closely with Product Owners to translate the product roadmap and business requirements into clear, actionable technical specifications.
• Cross-Team Collaboration: Engage actively with stakeholders from critical teams, including the Sales Force Team and the Insights & Analytics Team, to gather requirements, integrate our products with their platforms, and ensure the delivered solutions meet their high standards for quality and utility.

Qualifications

• Required: Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• Required: 7+ years of progressive experience in software engineering, data architecture, or related technical roles, with at least 3 years in a leadership or delivery-focused role.
• Required: Deep familiarity with the Oncology domain or other complex life sciences/pharmaceutical domains.
• Required: Expert-level working knowledge of the AWS cloud platform and its core data/compute services.
• Preferred: Proven experience designing or implementing Knowledge Graph solutions.
• Preferred: Deep working knowledge of Databricks and its associated data processing frameworks (e.g., Apache Spark).
• Required: Proven experience working with Compliance and Security Teams to deliver regulated products, with a strong understanding of data governance and privacy (e.g., HIPAA).
• Required: Expertise in Microservices architecture and building scalable REST APIs.
• Required: Practical experience with Generative AI technologies (e.g., RAG architectures, prompt engineering).
• Preferred: Familiarity with AWS Generative AI architecture patterns, including Amazon Bedrock and implementing Agentic Core/RAG solutions.
• Preferred: Prior experience with Snowflake or similar modern cloud data warehouses.
• Preferred: Prior experience leading teams building production-grade Data Science or Machine Learning products in the pharmaceutical or biotech industry.
• Preferred: Direct experience integrating products with CRM platforms like Salesforce.