Product Delivery Lead - Commercial Data Science & AI

We're looking for an experienced, highly technical, and strategically minded Product Delivery Lead to guide our cross-functional teams in building and deploying next generation products using machine learning, and Generative AI capabilities within OBU. You'll be the crucial link between technical execution and business strategy, ensuring our teams deliver high-quality, reusable, and scalable solutions that drive significant business value for our commercial and medical functions, while strictly adhering to all compliance and security standards.

This role requires a unique blend of deep technical expertise, architectural vision, strong leadership, and excellent communication skills to navigate complex technical decisions and manage a diverse set of stakeholder expectations.

Key Responsibilities

Technical Leadership & Product Architecture

• Product Architect & Vision: 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 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, patients pathway 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.

Compliance, Security, & Delivery Management

• 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.

Stakeholder Alignment & Communication

• 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.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 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.
• Deep familiarity with the Oncology domain or other complex life sciences/pharmaceutical domains.
• Expert-level working knowledge of the AWS cloud platform and its core data/compute services.
• Highly Recommended: Proven experience designing or implementing Knowledge Graph solutions.
• Highly Recommended: Deep working knowledge of Databricks and its associated data processing frameworks (e.g., Apache Spark).
• Proven experience working with Compliance and Security Teams to deliver regulated products, with a strong understanding of data governance and privacy (e.g., HIPAA).
• Expertise in Microservices architecture and building scalable REST APIs.
• Practical experience with Generative AI technologies (e.g., RAG architectures, prompt engineering).

Preferred Qualifications

• Familiarity with specific AWS Generative AI architecture patterns, including Amazon Bedrock and implementing Agentic Core/RAG solutions.
• Prior experience with Snowflake or similar modern cloud data warehouses.
• Prior experience leading teams building production-grade Data Science or Machine Learning products in the pharmaceutical or biotech industry.
• Direct experience integrating products with CRM platforms like Salesforce.
   

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