At a Glance
- Tasks: Lead data product coordination and drive execution across multiple business domains.
- Company: Join Parexel, a leader in improving global health through innovative biopharmaceutical services.
- Benefits: Enjoy competitive salary, bonus, car allowance, and comprehensive benefits.
- Other info: Structured career pathway with support for professional development.
- Why this job: Make a real impact on patient care while leading a dynamic team in a remote role.
- Qualifications: Experience in data engineering or analytics at a senior level is essential.
The predicted salary is between 80000 - 100000 £ per year.
When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.
Parexel is in the business of improving the world’s health. We do this by providing a suite of biopharmaceutical services that help clients across the globe transform scientific discoveries into new treatments. We believe in our values: Patients First, Quality, Respect, Empowerment & Accountability.
This role will work within our innovative Data & Technology group that continues to evolve to meet business needs, fuel Parexel's growth and enable improved support for stakeholders, including customers and ultimately patients, who will benefit from Parexel's integrated processes and systems. This role will be based in the UK and can be fully home based and remote working anywhere in the UK only.
The Director, Data Product Coordination Lead is a senior leadership role responsible for ensuring alignment, orchestration, and execution across enterprise data initiatives. You will operate at the center of the data ecosystem, coordinating data products across business domains and aligning stakeholders with delivery teams to ensure efficient, transparent, and consistent execution.
You will provide full accountability for the Data Product Coordination function, including leadership of a team of managers and senior professionals as well as establish operating models, driving execution across Data Ingestion, Data Engineering, and Data Distribution, and ensures delivery outcomes are achieved across the enterprise data ecosystem.
You will lead a team of Data Product Coordinators who are aligned to specific business domains (e.g., Clinical, Corporate, Commercial) and operate within a highly matrixed environment to drive execution across data functions. Finally, you will operate in a highly matrixed environment, driving execution and accountability across multiple data functions and business domains where teams are not directly managed but must be aligned to deliver shared outcomes.
Key Accountabilities:- Data Product Alignment & Coordination
- Stakeholder & Delivery Alignment
- Intake, Prioritization & Demand Management
- Orchestration Across Data Functions
- Communication, Transparency & Governance
- Operational Leadership
- People Leadership & Capability Development
Education: Bachelor’s Degree in Computer Science, Engineering, Information Technology or a related discipline are required or equivalent industry experience.
Skills: Strategic leader with proven ability to drive organizational transformation, large-scale change, operational excellence and continuous improvement across complex global environments. Deep Quality Engineering expertise spanning enterprise testing methodologies, automation frameworks, tooling ecosystems, Agile, DevOps, CI/CD and modern engineering practices. Strong capability in regulated system delivery, GxP environments, vendor governance, global delivery models and risk-based quality oversight. Advanced leadership, coaching, people management, budget/resource management and organizational capability-building skills. Exceptional stakeholder management, executive communication, influencing, negotiation, business acumen and ability to balance innovation, speed, quality and compliance.
Knowledge and Experience: Previous advanced level experience operating in Data Engineering, Data Analytics, or Technology positions at Associate Director or Director level are essential. Strong line and people management leadership experience of Data & Analytics teams are essential. Strong communication and execution skills. Strong previous clinical trial experience is essential and previous exposure working in global CRO environments are preferred. Deep understanding of clinical systems and lifecycle. Familiarity with enterprise data operating models. Experience aligning clinical, corporate, and analytics domains. Experience with corporate and commercial systems (Finance, HR, Sales, MDM).
In return we will be able to offer you a structured career pathway and encouragement to develop within the role including awareness and understanding of the industry. You will be well supported and in return for your hard work you will be rewarded with a competitive base salary, bonus, car allowance and holiday as well as other leading benefits you would expect with a top company in the CRO Industry. Apply today to begin your Parexel journey!
Director, Data Product Coordination Lead (D&T) employer: Parexel
At Parexel FSP, we pride ourselves on being an exceptional employer, offering a dynamic and supportive work environment for our IRT Vendor Start-up Manager role. With a focus on employee growth and development, we provide comprehensive training and opportunities to collaborate with industry experts, all while enjoying the flexibility of a home-based position in the UK or Ireland. Our commitment to excellence and innovation ensures that you will be part of a team that values your contributions and fosters a culture of success.
StudySmarter Expert Advice🤫
We think this is how you could land Director, Data Product Coordination Lead (D&T)
✨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 Parexel!
✨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 Director, Data Product Coordination Lead (D&T) at Parexel.
✨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 Parexel.
✨Apply Directly through Our Website
When you find a suitable opening like Director, Data Product Coordination Lead (D&T) at Parexel, 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 Director, Data Product Coordination Lead (D&T)
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 Parexel, 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 Parexel. 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 Parexel
✨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 Parexel!
✨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.
