Astrazeneca
Product Delivery Lead - Commercial Data Science & AI
Astrazeneca, Gaithersburg, Maryland, us, 20883
Overview
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. Proven experience designing or implementing Knowledge Graph solutions. 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. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That\'s why we work, on average, a minimum of
three days per week from the office . But that doesn\'t mean we\'re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, we are committed to making a difference by fusing data and technology with scientific innovation. Our curiosity and courage drive us to explore new possibilities in treating complex diseases. We work seamlessly as one team, leveraging diverse global knowledge to create impactful solutions. With opportunities for continuous learning and growth, we push the boundaries of science to deliver life-changing medicines. Ready to make an impact? Apply now and join us on this exciting journey! Date Posted
21-okt.-2025 Closing Date
09-nov.-2025 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
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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. Proven experience designing or implementing Knowledge Graph solutions. 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. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That\'s why we work, on average, a minimum of
three days per week from the office . But that doesn\'t mean we\'re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, we are committed to making a difference by fusing data and technology with scientific innovation. Our curiosity and courage drive us to explore new possibilities in treating complex diseases. We work seamlessly as one team, leveraging diverse global knowledge to create impactful solutions. With opportunities for continuous learning and growth, we push the boundaries of science to deliver life-changing medicines. Ready to make an impact? Apply now and join us on this exciting journey! Date Posted
21-okt.-2025 Closing Date
09-nov.-2025 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
#J-18808-Ljbffr