Career Category
Engineering
Job Description
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:
You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role
leverages
state-of-the-art
technologies, including Generative AI, Machine Learning, and integrated data
.
You will
leverage
domain, technical and business process
expertise
to provide exceptional support
of
Amgen’s data governance framework. This role involves working closely with business
stakeholder
and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with Product
Data
Owner
s
and data leaders
to increase
the
trust and reuse of data across Amgen
.
Roles & Responsibilities:
Responsible for the
adoption of
data governance framework implementation for a given domain of
expertise
(Research, Development, Supply Chain, etc.).
Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management.
Works with Enterprise MDM and Reference Data to enforce standards and data reusability.
Drives cross functional alignment in his/her domain(s) of
expertise
to ensure adherence to Data Governance principles.
D
evelop
s
policies for data, metadata, privacy, lineage, access, security, retention, and archival.
Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains.
Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains
Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations.
Build strong
relationship
with key business leads and partners to ensure their needs are
met
.
Functional Skills:
Must-Have
Functional
Skills:
Technical skills
(Advanced SQL, Python
etc
)
with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.)
In depth experience of working with or supporting systems used to data governance framework.
E.g.
Collibra, Alation
In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc.
In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy.
Customer focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics
Ability to manage scrum teams
Good-to-Have
Functional
Skills:
Experience of working with data governance councils or forums
Experience with Agile software development methodologies (Scrum)
Soft Skills:
Excellent analytical skills
Ability to work effectively with global, virtual teams
Ability to manage multiple priorities successfully
Team-oriented, with a focus on achieving team goals
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
Basic Qualifications:
Master’s / Bachelor's degree with 9 - 12 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
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
an accommodation
.
.
