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.
Onyx is 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 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. 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 overall Onyx products.
In this role you will
* Develop and execute a comprehensive product strategy and roadmap for our Data Platform product portfolio, aligned with Onyx's overall product vision and objectives.
* Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements.
* Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals.
* 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.
* Collaborate with R&D customers, R&D Digital & Tech organization, Onyx Engineering teams, and program management teams to align product strategies, gather input, and drive successful implementation plans.
* Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction.
* Continuously monitor product performance, collect and analyse data, and drive iterative improvements to enhance product usability, performance, and customer experience.
* Engage with key stakeholders, including senior Technology leadership and customer organizations to provide updates on product performance, roadmap, and future plans.
* 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?
Qualifications & Skills:
We are looking for professionals with these required skills to achieve our goals:
* Bachelor's degree in Computer Science, Software Engineering, or related discipline.
* Experience in Data Platform and/or cloud infrastructure product development or management.
* 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.).
* Enterprise exposure to data engineering tools and products (Spark, Airflow, PySpark, Kafka, Hive, SQL/NoSQL) 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.
* 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.
* 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.
Preferred Qualifications & Skills:
If you have the following characteristics, it would be a plus:
* Master's degree in Data Science, Bioinformatics, Computational Biology, Computer Science/Software Engineering, Cloud Computing or related discipline.
* Familiar with metadata management and data governance concepts.
* Familiarity with life science/biological data is a plus.
Closing Date for Applications: Thursday 30th January 2025 (COB)
Please take a copy of the Job Description, as this will not be available post closure of the advert.
When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.
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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.
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.
As an Equal Opportunity Employer, we are open to all talent.
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