Senior Associate, Data Management

With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.

Hiring Managers: Aakruti Parmar, Liam Kennedy
TA Advisor: Klaudia Szewczyk
Application deadline: 18th September

As a Senior Associate, Data Management, you will play a key role in delivering high-quality study data by partnering with cross-functional teams and external vendors. You will contribute to study design, oversee critical data management activities, and ensure data integrity and consistency across the study lifecycle.

Working within the Data Analytics and Outsourcing team, you will apply your expertise to improve data quality, drive efficient study execution, and support reliable, evidence-based outcomes.

• Provide data management expertise to study teams, including meaningful input into study protocols and design
• Lead the review and refinement of electronic data collection tools (eCRFs) to ensure accurate and efficient data capture
• Monitor and review study data to identify trends, discrepancies, and outliers, and take appropriate action
• Collaborate closely with external vendors, providing oversight to ensure high-quality and timely delivery of data management activities
• Review vendor processes and documentation (e.g., SOPs) to ensure alignment with company standards and regulatory requirements
• Ensure delivery of data management activities within agreed timelines, scope, and quality expectations
• Contribute to lessons learned and continuous improvement initiatives to enhance processes and outcomes
• Apply data integrity principles (e.g., ALCOA) and ensure compliance with relevant standards and procedures

Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.

In Research and Development, we're full of highly skilled talents that include Scientists, Engineers, Medical, Clinical and Regulatory professionals - all working to create a cleaner, healthier world. With nine Centres of Excellence, we continually seek out new opportunities by using science, our entrepreneurial flare and our fearless innovation to develop and enhance our existing portfolio, never compromising on quality or performance.

We do the right thing, always, by ensuring we act with responsibility and integrity, by complying with regulatory legislation across the globe, whilst ensuring our products are safe for our consumers and are to the highest quality.

The size of our organisation means you'll have the opportunity to learn and work in different functions within R&D, giving you exposure to different disciplines, teams and environments. You will also have access to our Research and Development Academy, designed to develop our team and allow you to grow in our great organisation.

• Experience in Data Management within clinical research or a regulated environment
• Proven ability to contribute independently to study data management activities
• Experience working with external vendors and managing deliverables
• Strong understanding of clinical data collection tools (e.g., eCRFs) and study processes
• Knowledge of data quality and data integrity principles (e.g., ALCOA)
• Ability to identify issues, assess impact, and support resolution
• Strong communication skills with experience working across functions

Task Execution Under Pressure, Makes strategic Business Decisions, Business accumen, Commercial Awareness, Objective Setting, Accountability, Consumer Insight, Creative Direction, R&D, Change Leadership, Product Lifecycle Management, Business Partnership, Collaboration and partnership building, Relationship Management, Adapt to changes in technological development plans, Ability to challenge the status quo and propose improvement, Innovation Processes, Digital transformation for R&D, Quality and Manufacturing.