Data Quality Lead

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world s toughest diseases, and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what s known today.

ABOUT THE ROLE

Role Description:

The Data Quality Lead will be responsible for defining, operationalizing, and monitoring data quality capabilities to increase the quality and trust of data across Amgen. This role will be responsible for delivering strategic and tactical data quality and stewardship services. This is a vital role to support Amgen s aspirations for a FAIR data ecosystem that conforms with business needs.

This role will interact with Amgen s data owners and product teams worldwide to monitor and improve data related KPIs and remediation plans.

Roles & Responsibilities:

• Develop and implement data quality standards, metrics, and governance frameworks to ensure consistency, accuracy, and reliability of enterprise data across systems and domains.
• Lead root cause analysis and resolution of data quality issues by collaborating with data stewards, business stakeholders, and Technology teams to identify, prioritize, and remediate data anomalies.
• Establish data quality monitoring and reporting processes, including dashboards and KPIs, to track progress, highlight trends, and drive continuous improvement initiatives.

Functional Skills:

Must-Have Skills:

• Experience managing commercial data quality platforms
• Technical data management skills with in-depth knowledge of Pharma data standards.
• Aware of industry trends and priorities and can apply to governance and policies.

• In-depth knowledge and experience with data masking, data access controls, and technologies to enable a scalable operating model.

Good-to-Have Skills:

• Experience managing industry external data assets (e. g. Claims, EHR, etc. )
• Ability to successfully execute complex projects in a fast-paced environment and in managing multiple priorities effectively.
• Ability to manage projects or departmental budgets.
• Experience with modelling tools (e. g. , Visio).
• Basic programming skills, experience in data visualization and data modeling tools.
• Experience working with agile development methodologies such as Scaled Agile.

Soft Skills:

• Ability to build business relationships and understand end-to-end data use and needs.
• Excellent interpersonal skills (team player). People management skills either in matrix or direct line function.
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals
• Good presentation and public speaking skills.
• Strong attention to detail, quality, time management and customer focus.

Basic Qualifications:

• Doctorate degree and 2 years of Information Systems experience, or
• Master s degree and 6 years of Information Systems experience, or
• Bachelor s degree and 8 years of Information Systems experience, or
• Associates degree and 10 years of Information Systems experience, or
• 4 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs.

EQUAL OPPORTUNITY STATEMENT

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request and accommodation.