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Senior Product Manager, Data Platform Products
The Onyx Research Data Tech organization is GSK's Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data and insights when they need it to give them a better starting point for and accelerate medical discovery. Ultimately, this helps us get ahead of disease in more predictive and powerful ways.
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 workbenches.
We are seeking a skilled and experienced Senior Product Manager for our Data Platform products. In this role, you will be responsible for developing and executing the product strategy to meet the customer needs. You will partner closely with the leaders of Onyx's engineering teams (Data & Knowledge Platform, DevOps and Infrastructure, AI/ML analysis and computing platform, data engineering, and UI/UX engineering), along with the Onyx portfolio management team, to deliver industry-leading Data Platform products that power downstream consumption of petabytes of business-critical data. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of Data Platform products.
Key Responsibilities:
- Product Strategy and Roadmap:Develop and execute a comprehensive product strategy and roadmap for protein design solutions and tools, aligned with Onyx's overall product vision and objectives
- Customer Understanding:Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements.
- Product Planning and Definition:Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals.
- Agile Product Development:Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management.
- Cross-Functional Collaboration:Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans.
- Product Launch and Adoption:Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction.
- Product Performance and Optimization:Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience.
- Stakeholder Management:Engage with key stakeholders, including senior technology and RD leadership, to provide updates on product performance, roadmap, and future plans.
- Industry Thought Leadership:Stay abreast of industry trends, best practices, and emerging technologies in the protein design and pharma tech space. Share insights and act as a thought leader within the organization and industry events
- External Collaboration Leadership:Identify, initiate, and manage strategic collaborations with external stakeholders that align with our data platform product strategy.
Why You?
Basic Qualifications:
- Bachelor's or master's degree in Bioinformatics, Computer Science, Software Engineering, Computational Biology, Computational Chemistry, Data Science, or related discipline
- For candidates with a Bachelor's degree: 6+ years of professional experience, including at least 2 years in data platform and/or cloud infrastructure product development or management.
- For candidates with a Master's degree: 4+ years of professional experience, including at least 2 years in data platform and/or cloud infrastructure product development or management.
Preferred Qualifications:
- Deep understanding of modern software development tools / ways of working required to deliver high quality products and user experiences (e.g. git/GitHub, Docker, DevOps tools, metrics / monitoring, etc.).
- Strong knowledge of metadata management frameworks and data governance practices, with an emphasis on scalability and compliance in research environments.
- Enterprise exposure to data engineering tools and products (Spark, PySpark, BigQuery, Pub/Sub) with an understanding of product/market fit for internal stakeholders
- Familiarity with cloud computing environments, including but not limited to GCP (Preferred), Azure, and AWS.
- Experience working in agile software development environments, utilizing tools like Jira and Confluence.
- Understanding of life science or biological data is a plus.
- Demonstrated success in launching and managing high-stakes enterprise engineering products for bioinformatics, data science, AI/ML, and analytics data consumption.
- Strong analytical and problem-solving skills, with the ability to make data-driven decisions.
- Proven experience developing partnerships or collaborations in the life sciences or data/AI space.
- Experience navigating and aligning external collaborator goals with internal product strategy and timelines.
- Strong leadership abilities and a self-driven, proactive approach.
- Excellent communication, collaboration, and stakeholder management skills.
- Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
- Strong stakeholder management and prioritisation to deliver to stakeholder value whilst modernising practices to improve overall R&D delivery.
- Comfortable representing the company and product in external-facing settings including academic symposia, consortiums, and innovation partnerships.
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