Director, Data Product Management, End-to-End Clinical Planning
Spain - Barcelona
AstraZeneca
AstraZeneca is a global, science-led biopharmaceutical business and our innovative medicines are used by millions of patients worldwide.Introduction to role
AstraZeneca is on a mission to maximize the utilization of high-quality, trusted data to accelerate our Bold Ambition of delivering 20 new medicines to patients by 2030. As the Director of Data Product Management, you will focus on end-to-end clinical planning efforts, setting the strategic direction for data collection, organization, storage, and sharing. Your goal is to enhance collaboration and data-driven decision-making across the R&D landscape, driving value realization for data and embedding this value within the business. You will act as an interface between business customers and technical teams to prioritize building what matters most to enable the strategic goals of the enterprise.
Accountabilities
- Set the vision and strategy for data products in given domains, guided by a clear understanding of business value and customer needs, ultimately translating these needs as input into the design, build, and iteration of data products.
- Create, maintain, and own data product roadmaps, leading the ongoing delivery and management of the product from inception to maturity.
- Own and manage feature backlogs, teaming with architects, analysts, and engineers to elaborate requirements. This will also include timely reversal of technical debt.
- Identify and manage partnerships required to ensure innovative capabilities at the intersection of data science, technology, and healthcare.
- Lead cross-functional teams from ideation to launch of data products ensuring coordination between data platforms, solution architecture, information architecture, and data governance so that the final product meets business, technical, and regulatory requirements.
- Champion agile, iterative development processes while ensuring data products are Findable, Accessible, Interoperable, and Reusable.
- Manage dependencies in and across releases to complete release phases and milestones.
- Communicate effectively with business leaders whose operations are impacted by data products and the programming surrounding them.
- Act as the voice of the business to prioritize building what matters most to enable the strategic goals of the enterprise.
- Own and manage the business metadata and metrics for specified data products.
- Engage and collaborate with partners and stakeholders to gather input and communicate plans, timelines, and deliveries.
- Perform relevant Data Stewardship activities if assigned to that role.
Essential Skills/Experience
- Experience with advanced planning and forecasting techniques, including the use of digital twins, predictive analytics, and scenario modeling to drive data-driven decision-making and optimize product performance.
- Thrives in a fast-paced work environment, comfortable with complexity and uncertainty at times, lots of humour, dedication to deliver outcomes and motivated by the opportunity to rethink our approach to healthcare.
- Ability to manage a cross-functional product development and deployment process, including teams of people with diverse skills to perform the needed tasks.
- Comfortable operating in heavily matrixed organizations with excellent communication skills and intuition to manage the needs of various stakeholders.
- Solid Project and/or Product management skills, including managing vendors, budgets, timelines, and risks.
- Experience bringing innovation to bear on solving complex and multi-dimensional issues from an operational, technical, financial, and human perspective.
- Understanding of the principles of Product Management.
- Deep familiarity with data engineering concepts such as ETL, data modeling, data lakes/databases, reference data, master data, etc.
- Experience leading or working on agile development teams.
- Excellent leadership, communication, influencing, and stakeholder management skills.
- Experience establishing, communicating, and executing product roadmaps.
- Strong analytical and problem-solving abilities with the ability to make data-driven decisions.
- Ability to rapidly grasp concepts and manage complexity by simplifying it for others and providing clear directions to delivery teams.
- Familiarity with key principles and processes of Data Management (Governance, Architecture, Modeling, Reference and Master Data, Integration, Storage, Business Intelligence).
- Ability to understand data-related problems from Business/Product Teams and effortlessly translate these into technical requirements with Data Engineering leads.
- Ability to manage and influence strategically and persuade tactfully to obtain desired outcomes while maintaining effective, positive organizational relationships.
Desirable Skills/Experience
- Master’s or PhD in a scientific or technical discipline.
- 5+ years of relevant experience in the pharmaceutical industry with strong knowledge of Drug Development Processes and the diverse sources of information that support, inform and assist in healthcare/clinical research.
- Familiarity with the latest research and thinking and understanding of dynamics affecting the pharmaceutical industry and needs for transformation.
- Ability to work globally including international travel.
- Familiarity with data science, data visualization, and reporting concepts.
- Ability to work in a fast-paced, dynamic environment and manage multiple streams of work simultaneously.
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
At AstraZeneca, we are committed to making a difference by fusing data and technology with scientific innovations. Our dynamic environment encourages creativity without fear of failure. We are driven by curiosity and courage to explore new possibilities in treating complex diseases. Our inclusive culture fosters collaboration across academia, biotechs, and industry experts. We offer numerous opportunities for continuous learning and career development as we push the boundaries of science to deliver life-changing medicines.
Ready to make an impact? Apply now!
Date Posted
05-feb-2025Closing Date
19-feb-2025AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Business Intelligence Data governance Data management Data visualization Engineering ETL Pharma PhD R R&D Research
Perks/benefits: Career development Flex hours Team events
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