Senior Product Manager – AI/ML

The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. 
 

We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:

· Building a next-generation, metadata- and automation-driven data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics”

· Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent

· Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time

Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications.

We are seeking a highly skilled and experienced Director for our AI/ML, Analysis and Computing Platforms products. In this role, you will be responsible for developing the product strategy of our AI/ML Analysis and Computing platform to meet the customer needs. You will partner closely with the leaders of Onyx’s customer organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power AI/ML workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our AI/ML Platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx AI/ML platform products. Additionally, as the organization scales, you will be responsible for hiring, developing, and retaining a talented team of Product Managers who possess a deep understanding of the business areas, Onyx capabilities, and how to translate customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines. This ensures our AI/ML scientists receive the solutions they need to succeed.

Key Responsibilities:

· Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML Platform product, aligning with the Onyx’s overall goals and objectives.

· Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements.

· Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio teams to ensure successful product development and deployment.

· Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes.

· Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success.

· Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the AI/ML platform.

· Product Ambassador: Serve as an ambassador of the AI/ML platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers.

· Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage.

· Team Leadership: Manage and mentor a team of product managers, providing guidance, support, and fostering a culture of innovation and excellence.

Why You?
Basic Qualifications:

· Bachelor’s degree in Life Sciences, Computer Science, Machine Learning/AI, or related discipline

· 4+ years of experience with bioinformatics/genomics databases, biological datasets, biotech or Pharma R&D.

· 2+ years of experience with cloud-based AI model development services, or product management

Preferred Qualifications:

· Masters or PhD in related field

· Strong understanding of biological AI research and model development.

· Proven track record of managing developer platforms, tools, and / or services, ideally for research.

· Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred.

· Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction.

· Leadership Skills: Demonstrated ability to lead and inspire cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority.

· Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions.

· Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions.

· Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences.

· Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs.