
Multinational biopharmaceutical company.
Sr. Manager, Data Governance Lead - Domain Specific
Career Category
Information Systems:
Job DescriptionABOUT 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 ROLERole Description:
The Data Strategy and Governance Lead will operationalize the Enterprise Data Council vision across specific domains (Research, Clinical Trials, Commercial, etc.). He/She will coordinate activities at the tactical level, interpreting Enterprise Data Council direction and defining operational level impact deliverables and actions to build data foundations in specific domains. The Data Strategy and Governance Lead will partner with senior leadership and other Data Governance functional leads to align data initiatives with business goals. He/she will establish and enforce data governance policies and standards to provide high-quality data, easy to reuse and connect to accelerate AI innovative solutions to better serve patients.
Roles & Responsibilities:
- Responsible for data governance and data management for a given domain of expertise (Research, Development, Supply Chain, etc.).
- Manage a team of Data Governance Specialists and Data Stewards for a specific domain.
- Responsible for operationalizing 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.
- Provides expert guidance on business process and system design to support data governance and data/information modelling objectives.
- Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains.
- Ensure compliance with data privacy, security, and regulatory policies for the assigned domains
- Publish metrics to measure effectiveness and drive adoption of Data Governance policy and standards, that will be applied to mitigate identified risks across the data lifecycle (e.g., capture / production, aggregation / processing, reporting / consumption).
- Establish enterprise level standards on the nomenclature, content, and structure of information (structured and unstructured data), metadata, glossaries, and taxonomies.
- Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Architecture, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations.
Functional Skills:Must-Have Skills:
- Technical skills with in-depth knowledge of Pharma processes with preferred specialization in a domain (e.g., Research, Clinical, Commercial, Supply Chain, Finance, etc.).
- Aware of industry trends and priorities and can apply to governance and policies.
- In-depth knowledge and experience with data governance principles and technology; can design and implement Data Governance operating models to drive Amgen’s transformation to be a data driven organization.
- In-depth knowledge of data management, common data models, metadata management, data quality, reference & master data management, data stewardship, data protection, etc.
- Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy.
Good-to-Have Skills:
- Experience adopting industry standards in data products.
- 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:
- Bachelor’s degree and 16 to 20 years of Information Systems experience
- 4 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs.
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 and accommodation.
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Amgenについて

Amgen
PublicA biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.
10,001+
従業員数
Thousand Oaks
本社所在地
$138B
企業価値
レビュー
24件のレビュー
3.6
24件のレビュー
ワークライフバランス
3.2
報酬
3.5
企業文化
3.1
キャリア
2.8
経営陣
3.4
65%
知人への推奨率
良い点
Excellent benefits and health benefits
Good pay and compensation
Supportive management and leadership
改善点
Limited career growth and promotion opportunities
Work-life balance challenges and long hours
Bureaucratic processes
給与レンジ
1,002件のデータ
Junior/L3
L2
L6
M3
M4
M5
M6
Mid/L4
Senior/L5
Staff/L6
L3
L4
L5
Junior/L3 · Associate Data Analytics
2件のレポート
$104,000
年収総額
基本給
$80,317
ストック
-
ボーナス
-
$98,800
$124,000
面接レビュー
レビュー5件
難易度
3.0
/ 5
期間
14-28週間
内定率
40%
体験
ポジティブ 20%
普通 80%
ネガティブ 0%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Final Round/Panel Interview
6
Offer
よくある質問
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
Culture Fit
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