Description:
We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.
In this role you will
- Understanding needs, business processes and data requirements of customer-groups and users, and manage key business relationships for your D&AI products, as well as combining business understanding with knowledge of established and emerging D&AI capabilities to identify and cultivate D&AI use-cases from ideas into potential D&AI products
- Creating clear and compelling D&A Product vision, strategy and roadmap to deliver value across the Product lifecycle in line with strategies and priorities of customers
- Thinking and acting with agility, using experimentation, user demos and other sources of rapid feedback to iteratively refine the D&A Product Roadmap and backlog throughout the Product lifecycle
- Overseeing development team of internal and external D&AI experts and enabling them to be effective by ensuring they have clear requirements to design and deliver against, by making timely decisions and by working with customers and other Product teams to reduce dependencies and remove blockers
- Engaging with D&AI Architecture team and others to ensure D&AI Product technical design aligns with target architecture and established standards
- Ensuring overall quality and compliance of D&A Products, including GxP Validation if required
Please note that there are some travel requirements for the role dependent on organizational need (circa 15%).
Why you?
Basic Qualifications & Skills:
We are looking for professionals with these required skills to achieve our goals:
- Bachelor's degree in computer science, data science, engineering, science, or a related discipline
- Extensive Experience in Data and Analytics: Deep understanding of data and analytics technologies, methodologies, and trends. This should include experience with data modelling, data management, data governance and use of analytics/AI platforms.
- Product Management Expertise: Strong experience in product management, including a track record of successfully managing and delivering complex data and analytics products in a large enterprise. This experience should encompass product strategy, roadmap development, stakeholder management, and product lifecycle management.
- Business Acumen: Solid understanding of pharmaceutical industry business processes, specifically in commercial manufacturing. Able to anticipate the needs of key business stakeholders, align product strategies with customer priorities, and drive value realization.
- Technical Expertise: Strong technical background in cloud-based data and analytics across full stack from data architecture and integration to data visualisation and analytics as well as experience in more cutting-edge/emerging technologies. Also have experience in ensuring technical designs align with target architecture and established standards.