Digital Product Manager

Digital Product Manager

Key Responsibilities

• Content Curation & Optimization:

  Curate, classify, and optimize scientific, clinical, and regulatory content for internal search platforms. You will ensure high-value content is properly tagged and categorized using standard metadata, ontologies, and classification schemes (

  e.g., MeSH, SNOMED, MedDRA

  ).

• Search & Data Analytics:

  Analyze content performance and user search behavior to make data-driven decisions and identify content gaps. You will provide feedback and input on synonym lists, controlled vocabularies, and

  NLP

  enrichment tools to improve search functionality and discoverability.

• Technical Management:

  Work with taxonomy and knowledge management teams to evolve tagging strategies. You will also check and update digital assets regularly, modifying their accessibility and security settings as needed.

• Compliance & Documentation:

  Investigate, secure, and properly document permission clearance for publishing various forms of media. You will also develop and manage a system for storing and organizing digital material, ensuring quality assurance checks on all content before publication.

• Innovation & Emerging Technologies:

  Stay up-to-date on new trends and tools, including those related to

  generative AI

  and

  NLP

  techniques. You will have a deep understanding of cloud platforms (

  GCP, AWS, Azure

  ) and be willing to work on

  AI

  applications.

Qualifications

• A degree in Data Management, Mass Communication, or Computer Science & Engineering with 9-12 years of software development experience.
• 5+ years of experience in digital content curation or a related position.
• Familiarity with metadata standards, taxonomy tools, and content management systems (

  CMS

  ).
• Experience in

  SEO

  ,

  Google Analytics

  , and enterprise search platforms (

  e.g., GXP Search Engine, Solr Search, Lucene, Elasticsearch

  ).
• Experience with cloud platforms (

  GCP, AWS, Azure

  ) and database technologies (

  Posgres SQL, Mongo DB SQL

  ).
• Experience with

  Agile

  software development methodologies.
• Willingness to work on

  AI

  applications and experience with

  large language models

  and frameworks like

  Langchain

  or

  llamaIndex

  is a plus.

Soft Skills

• Problem-Solving:

  Excellent analytical, troubleshooting, and problem-solving skills, with the ability to quickly adapt to changing information landscapes.

• Communication:

  Exceptional written and verbal communication skills to clearly and concisely communicate complex information.

• Organization:

  Excellent organizational and time-management skills to manage and maintain content and digital assets.

• Teamwork:

  The ability to work effectively with global teams and a high degree of initiative and self-motivation.