Product Manager II, Data Engineering

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 multi-omics applications.

We are seeking a skilled and experienced Product Manager for our Data Engineering products. In this role, you will be responsible for developing and executing the product strategy of our Data Engineering products to meet the customer needs. You will partner closely with the leaders of Onyx's engineering teams (DevOps and Infrastructure, AI/ML analysis and computing platform, data & knowledge platform, data engineering, UI/UX engineering), along with the Onyx portfolio management team, to deliver industry-leading Data Engineering 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 Engineering products. 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 platform products.

Key Responsibilities:

Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for our Data Engineering product portfolio, aligned with the 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 R&D customers, R&D Digital & Tech organization, Onyx DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management 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 leadership and customer organizations 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 data engineering space. Share insights and act as a thought leader within the organization and industry events.

Why You?

Basic Qualifications:

Bachelor's degree in Computer Science, Life Science, Software Engineering, Bioinformatics or related discipline
4+ years of professional experience with a Bachelor's degree
2+ years of professional experience with a Master's degree
2+ years of experience with Data Engineering and/or cloud infrastructure product development or management.

Preferred Qualifications:

Technical Knowledge:
Proficiency with modern software development tools / ways of working (e.g. git/GitHub, Docker, DevOps tools, metrics / monitoring, CI/CD, etc.)
Strong understanding of data engineering tools (Spark, Airflow, PySpark, Kafka, Hive, SQL/NoSQL); working knowledge with at least one programming language (Python, Java, Scala )
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.
Familiar with metadata management and data governance concepts.
Familiarity with life science/biological data is a plus.
Experience:
2+ years of experience in product management, with a focus on data engineering products.
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.
Skills:
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.

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

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