At a Glance
- Tasks: Lead the vision for a unified Data & Information Marketplace and drive enterprise-wide data governance.
- Company: Join AstraZeneca, a leader in innovative healthcare solutions.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Make a real impact on how data transforms healthcare and drives innovation.
- Qualifications: 10+ years in data governance and proven leadership in enterprise data platforms.
The predicted salary is between 100000 - 150000 £ per year.
We’re building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors: you’ll actively harness existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high‑collaboration environments where your role is to turn sophisticated, cross‑functional problems into reusable, enterprise‑wide capabilities - and where the measure of success is adoption and scale, not just innovation - you’ll have the platform (and sponsorship) to make it real!
The Senior Director, Data and Information Marketplace provides strategic leadership for the capabilities, products and governance needed to help humans and intelligent agents discover, share, understand and use data and information quickly, easily and compliantly. This role shapes an integrated Data & Information Marketplace that improves the consumption experience across the enterprise, increases confidence in data and information assets, and ensures they are accessible, transparent, governed and valuable throughout their lifecycle. It ensures that data and information can be used with trust and efficiency, supports responsible and scalable reuse, and drives adoption of product‑based capabilities and tooling that enhance enterprise productivity, compliance and decision‑making.
Accountabilities
- Lead the vision for a unified Data & Information Marketplace that transforms how data and information are discovered, accessed and reused across the organisation.
- Define a clear strategy and roadmap that aligns marketplace outcomes with enterprise data, AI and business priorities, setting measurable goals and operating models that drive impact.
- Oversee product ownership for marketplace capabilities and tooling, ensuring intuitive experiences for both people and agents across discovery, access, sharing, understanding and use.
- Advise the development of capabilities for data access, lineage, observability and quality so that data assets are transparent, trusted and usable at scale.
- Shape enterprise approaches to data, information and knowledge lifecycle management, embedding governance for retention, stewardship, reuse, archival and disposal to maximise value while maintaining compliance.
- Champion new ways of managing unstructured information to improve discoverability, control and responsible use beyond traditional structured domains.
- Embed robust governance and control frameworks across marketplace services, aligned with legal, privacy, security and risk standards.
- Drive financial transparency and optimisation for marketplace platforms and services through FinOps practices that improve cost visibility, value realisation and sustainable scaling.
- Influence senior leaders across business, data, digital, security and compliance functions to secure adoption, prioritisation and continuous improvement of marketplace capabilities and ways of working.
Essential Skills/Experience
- 10+ years enterprise level leadership experience in data governance, data management, information management or enterprise data platforms, with accountability for global strategy and delivery.
- Experience in user experience design and evidence of translating this into easy, coherent, seamless experiences that are widely adopted by users and machines across multiple enterprise business units.
- Deep expertise in relevant capability areas, including data quality, observability, lineage, access management, lifecycle management and information governance.
- Measurable evidence of optimising the data P&L across covering cost/FinOps, value realisation and sustainability.
- Proven experience in product management and product ownership for enterprise data or information capabilities, including tooling, user experience and adoption at scale.
- Innovates, experiments and brings external perspectives, with a track record of applying frontier technologies and approaches to increase speed, quality and compliance of data.
- Strong collaboration skills and evidence of success in an enterprise‑scale federated ownership and delivery model, recognising when to build on the work and skills of others, and when to do themselves.
- Demonstrated ability to lead through complexity and influence senior partners across functions, driving enterprise alignment, decisions and enterprise change in a global environment.
- Strong communication, strategic planning and execution skills, with a track record of defining measurable outcomes, prioritising investments and delivering business value through data and information capabilities.
Desirable Skills/Experience
- Experience leading large‑scale data marketplaces or catalogues in highly regulated industries.
- Background in applying AI/ML to metadata management, knowledge graphs or intelligent search.
- Track record of building data products that directly enable scientific or clinical decision‑making.
- Familiarity with cloud‑native architectures, modern data platforms and automation for data operations.
- Evidence of building high‑performing global teams that blend engineering, product and governance skills.
When we put unexpected teams in the same room, we unleash ambitious 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 outstanding and ambitious world!
AstraZeneca offers the chance to combine technology leadership with meaningful impact: work with modern platforms in data, analytics, AI and machine learning; experiment with innovative approaches through hackathons and modern engineering practices; collaborate with diverse experts across science and technology; and help transform how medicines are discovered, developed and delivered with strong backing, investment and a culture that encourages ownership, curiosity and continuous learning!
Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.
Senior Director, Data and Information Marketplace in Cambridge employer: Dormont Manufacturing Co
AstraZeneca is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to lead transformative projects in data and information management. With a strong commitment to employee growth, the company offers opportunities to work with cutting-edge technologies and diverse teams, ensuring that every team member can make a meaningful impact on the future of medicine. Located in a dynamic environment, AstraZeneca promotes flexibility while maintaining a focus on in-person collaboration, making it an attractive place for professionals seeking to drive change and advance their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Director, Data and Information Marketplace in Cambridge
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dormont Manufacturing Co!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Director, Data and Information Marketplace at Dormont Manufacturing Co.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dormont Manufacturing Co.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Director, Data and Information Marketplace at Dormont Manufacturing Co, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Director, Data and Information Marketplace in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dormont Manufacturing Co. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dormont Manufacturing Co!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.