Manager Data Architecture

Lead efforts in defining data management policies, standards, and best practices in collaboration across stake holders.

• Improve data findability and interoperability across domains.

• Enable domain experts and application owners to dynamically model, harmonize, and enrich relevant vocabularies and ontologies.

Key responsibilities:

In this position, you will be building partnerships within both business and IT. Your key areas of focus will be:

• Develop and recommend data architecture components in support of data catalogs, data governance, data pipelines and storage.

• Review of data models, data taxonomy and associated data domains, metadata, and business critical data to execute processes across the data control environment.

• Leverage data modeling techniques to design semantic and ontological models that enhance data understanding and alignment with business concepts.

• Create and maintain catalog content for all R&D data packages and data products.

• Shape and drive overall catalog and governance strategies.

• Together with business partners, model their space and integrate the model for annotating content with semantic entities, making them findable and interoperable.

• Build strategic capabilities to ensure internal consistency within the ontology modelling ecosystem and efficient extraction of semantic entities from content.

• Drive alignment to Enterprise and pharmaceutical R&D technology strategy, patterns, and standards.

• Define reference architecture, patterns and standard methodologies.

• Design, maintain and socialize solution architecture collaboration with Lead Engineers.

• Explore the benefits of combining large language models (LLMs) and generative AI with ontology modelling to improve semantic entity recognition and annotation.

• Define solution architects to identify and integrate suitable modular capabilities.

Qualifications

Education:

• A bachelor's degree is required.

Experience and Skills:

Required:

• Over 8 years of data architecture experience, including enterprise data architecture understanding aligned to domain taxonomy.

• Experience with core data services, including data lakes, data warehouses, data marts, relational and dimensional modeling, data governance, data catalog, data quality, and master data management.

• Experience with Data governance tools like Alation, Collibra.

• Experience in a Pharma R&D data ecosystem preferred.

• Experience in data modelling.

• Proficiency in vocabulary and ontology governance.

• Ability to work collaboratively with cross-functional teams to design and implement data solutions that meet business needs.

• Experience in user story mapping, backlog grooming, and sprint planning.

• Ability to embrace change, iterate quickly, and gather feedback.

• Consistently demonstrate knowledge seeking and sharing behaviors in the performance of daily work.

Preferred:

• Familiarity with large language models and generative AI.

• Hands-on experience with collaboration tools like JIRA, Confluence, and Bitbucket.

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit https://www.careers.jnj.com .

Anticipated Salary Range: $100,000- $170,200

The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis.