Data Steward, Finance & Procurement MDM CoE

GSK is hiring a Data Steward, Finance & Procurement MDM CoE. Level rates it ; you can apply on GSK.

Level's read on this job

On Level's scale, this finance role is Little AI ●○○○: aI is not part of the work.
Level classes it as a mid-level role.
GSK has 822 other open roles on Level.
Posted in the last few days.

AI in this role

Business Introduction GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centred on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems.
Our diverse portfolio consists of vaccines, specialty medicines, and general medicines.
Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges. Position Summary You will play a key role in managing and improving the quality of finance and procurement data to support GSK’s Master Data Management (MDM) Center of Excellence. Working closely with diverse teams, you'll help ensure data is accurate, trusted and used effectively across the business. We value people who are detail-oriented, proactive, and collaborative. This role offers a great chance to grow your career while making a meaningful impact on how GSK uses data to move science and technology forward. Join us to help unite science, technology and talent to get ahead of disease together. Responsibilities This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following: - Own and maintain finance and procurement master data, ensuring accuracy and compliance with governance standards. - Collaborate with business partners, data owners, and IT teams to resolve data quality issues and drive continuous improvement. - Support and contribute to MDM processes, including data creation, updates, validations, and periodic audits. - Assist in defining and implementing data standards, policies, and documentation for finance and procurement domains. - Partner with stakeholders to analyze data requirements and support system enhancements or process changes. - Help deliver training and communication to increase awareness and adherence to master data management best practices. Why You? Work model This role is based in India and requires on-site work with some flexibility for hybrid arrangements as agreed with your manager. Basic Qualification We are seeking professionals with the following required skills and qualifications to help us achieve our goals: - Bachelor’s degree in finance, business administration, information management or related field. - Minimum 3 years’ experience in master data management, finance data analysis, procurement data stewardship, or a related function. - Strong understanding of finance and procurement business processes and data requirements. - Experience with data quality tools or techniques, including issue tracking and resolution. - Good communication skills to work effectively with different teams and stakeholders. - Proficient in English, both written and spoken. Preferred Qualification If you have the following characteristics, it would be a plus: - Experience working in a global or matrixed organization supporting finance or procurement functions. - Knowledge of ERP systems or MDM platforms used in finance and procurement. - Experience contributing to data governance frameworks or change management initiatives. - Analytical mindset with good problem-solving skills and attention to detail. - Ability to manage multiple tasks and priorities in a collaborative environment. - Passion for continuous learning and professional growth. Apply now If you are ready to use your skills to improve data quality and make a difference at a global company, we want to hear from you. Join GSK and be part of a team that helps unite science, technology and talent to get ahead of disease together. Submit your application today.

Skills

Artificial Intelligence (AI), Business Analysis, Data Analysis, Data Mining, Digital Fluency, Organization Transformation, Product Development, Project Management, Security System Design

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

Inclusion at GSK:

As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.

Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.

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How we rate this

Data Steward, Finance & Procurement MDM CoE at GSK rates 32 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.