Sr. Manager, Data Product

Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.

Site Name : Durham Blackwell Street, Philadelphia Walnut Street

Posted Date : Oct 15 2024

GSK is one of the world’s foremost pharmaceutical and healthcare companies and we are proud to be leading a healthcare revolution.

By disrupting our approaches to R&D and commercial business processes, Data and Analytics are allowing us to integrate, simplify and unlock all our data to drive innovation, decision making and enable our transformation in servicing our patients, healthcare professionals and consumers.

Key responsibilities :

This role of Sr. Product Manager for Enterprise Data & Analytics Platform organization will be partnering with a cross-functional team of product and engineering to drive the roadmap for the GSK core data platform, CODE Orange.

This role will own planning, directing, and coordinating activities to develop solutions for internal customers related to building out core data platform capabilities to drive GSK’s data and analytics needs.

In this role, you will collaborate with multiple stakeholders, product owners, engineering, and leadership to efficiently manage the priority and development of critical data platform features.

This role will contribute directly to the overall strategy of the Enterprise Data & Analytics team, gathering BU (Business Unit) Tech D&A (Data & Analytics) requirements, complete solution design, and deliver end-to-end solutions.

This role will oversee projects which will enable faster ingestion & acquisition, preparation, and creation of analytical ready datasets by creating microservices and self-service data capabilities.

There will be ongoing management for each delivery to improve performance and drive continuous improvement throughout the product lifecycle.

The Sr. Product Manager supports alignment across teams (Enterprise Data & Analytics and Business Functions) and a combined strategy to support efficient collaboration.

This role also provides leadership and direction to the product and engineering team within their reporting structure, acts as a leader within the team to ensure team alignment with the broader strategy, and partners with customers and leaders to validate concepts, vision, requirements, and roadmaps (feeding into the Enterprise Data & Analytics Platform Strategy).

Additionally, this role :

• Owns and drives the combined roadmap for both technical delivery of platform capabilities and business deliverables.
• Owns delivery for business tech partnerships and initiatives.
• Gathers & owns business tech and business requirements, complete solution design, deliver end-to-end solutions, include data ingestion & Acquisition, create microservices to help deliver faster business value, and provide ongoing management to improve performance and drive continuous improvement throughout the product lifecycle.
• Leads project conversations to gain alignment on business and / or technical outcomes through effective thought leadership in the subject area and establishing the right forum to bring other SMEs (Subject Matter Expert) together for an aligned outcome.
• Leads the assembly and execution of an effective cross functional agile delivery pod with the right membership to drive to business outcomes in partnership with key stakeholders.
• Drive alignment and provide input to the Enterprise Data & Analytics Roadmap and Strategy.
• Utilizing JIRA to manage the backlog of work as well as confluence for documentation around the engagements.
• Be an evangelist of Product Management, SAFe (Scaled Agile Framework Enterprise) Agile practices.
• Actively contribute to the Data and Product communities across GSK.

Role responsibilities and requirements :

• Delivery : Ensure project goals are achieved on time in alignment with the stakeholders’ expectations ability to manage complex projects and escalate to other Enterprise Data & Analytics leadership team members when needing support.
• Methodology : Project methodology will prioritize Agile, but where regulatory requirements exist may also require traditional Waterfall approaches or a hybrid between the two.
• Ownership : Take ownership of the development / delivery projects and help steer until completion.
• Partnering : Work when required with other externals and / or internal delivery agents to coordinate delivery.
• Governance : Follow governance that allows the projects and stakeholders to manage overall project performance and manage program risks within the global nature of some of the programs.
• Forward-looking : Remain flexible towards technological approaches to ensure that the best advantage is being taken of innovative technologies.

Keep abreast of industry developments in analytics and interpret how these would impact services and present new opportunities.

• Quality, Risk & Compliance : Ensure all risks and issues associated with owned projects are promptly recorded and managed in the appropriate Risk & Issue logs.
• Mentoring : Contribute to the overall running of the team, including the development of talent and capabilities.
• Technical Competency : Be conversant with data, technology and AI landscape to lead discussions in partnership with Analytics & Data Architect and Engineers.

Why You?

Basic Qualifications :

• Bachelor’s degree in Engineering or Technology.
• Experience with cloud compute, cloud infrastructure and cloud data integration capabilities (preferably Azure).
• 5+ years of professional experience in Product / Project Management.
• 5+ years in Data Platform experience including Data Management practices (Analytics / Platform).

Preferred Qualifications :

• Excellent communication skills (verbal & written).
• Experience managing cross-functional teams and leading the execution of highly visible complex projects, demonstrating strong project management execution.
• Experience building and operating GxP-regulated technology in Life Sciences.
• Understanding of Gen AI / LLM technologies and how they integrate with data platform to drive business value.
• Deploying and maintaining enterprise-wide data platforms and analytics tooling.

GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles.

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