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Axtria

Healthcare data analytics software and AI

Data Governance Specialist - Life Sciences

Data ManagementConfirmed live in the last 24 hours
Full-timeBerkeley Heights, NJ, USA$157.6k - $205.4k /yrIn-person

About the Job

Requirements

  • Strong knowledge of data assets and data management principles in Pharma, Med Device, and Biotech.
  • 10+ years of overall experience leading Data Governance strategy, implementation, and adoption, and designing and implementing data governance platforms and solutions.
  • Experience as a solution architect (functional and/or technical) who has designed and implemented Data Governance solutions for mid- to large-scale organizations.
  • Strong knowledge of Data Quality Management and Data Warehouse/Lakehouse architectures.
  • Hands-on experience and proficiency in leading Data Governance tools such as Informatica IDMC, Collibra, and Alation across Data Governance capabilities: Data Catalog, Metadata Management, Business Glossary, Lineage, Data Classification/Access/Security, and Data Marketplace.
  • Knowledge of Data Analysis and Logical Data Modelling.
  • Working knowledge of GenAI/LLMs (Claude or equivalent), including prompt engineering, RAG, embeddings, and secure enterprise integration patterns.
  • Awareness of applying AI to data governance capabilities (catalog, glossary, lineage, classification, access controls) with a strong compliance orientation.
  • Excellent verbal and written communication to represent Axtria and lead discussions with technical and business leaders.
  • Excellent troubleshooting and problem-solving skills, with an aptitude for working with large data sets.
  • Proven ability to handle multiple clients in an advisory capacity.
  • Ability to work independently or as part of a team.
  • Bachelor's degree in Computer Science.

Responsibilities

  • Stay current with industry trends, emerging technologies, and pharma regulatory changes that may impact data governance practices.
  • Develop and implement a comprehensive data governance strategy, framework, and capabilities roadmap aligned with organizational goals and objectives.
  • Establish data governance policies and procedures that ensure data accuracy, consistency, and integrity.
  • Define data quality standards, data classification procedures, and data lifecycle management processes.
  • Define key performance indicators to measure the effectiveness of data governance initiatives.
  • Enable data stewardship efforts for clients.
  • Create and execute processes that drive efficiency and support the long-term sustainment of Data Governance operations.
  • Promote the application of data governance concepts and a data-driven mindset and behavior.
  • Identify and understand client requirements, issues, and gaps in their Data Governance organization, people, processes, and technical implementations, and recommend solutions for immediate and long-term needs.
  • Work with client partners to conceptualize and develop functional and technical solution architecture for end-to-end client data governance requirements.
  • Design data governance solution frameworks covering Enterprise Data Governance capabilities, including Data Catalog, Metadata Management, Lineage Management, Business Glossary, Data Quality Management, Data Access and Controls, and Data Marketplace.
  • Lead solution design using Data Governance platforms such as Informatica IDMC, Collibra, and Alation, or open-source and cloud-native capabilities such as AWS, Azure, and GCP.
  • Provide thought leadership on Data Governance technology platforms and selection, with expertise and perspective on leading platforms.
  • Own solution architecture on client projects and align it with client near-term and strategic objectives.
  • Design and implement Data Governance projects according to requirements, and review test strategies, test plans, test cases, and their execution to ensure quality criteria are met.
  • Perform hands-on configuration and integration of Data Governance capabilities as needed, and troubleshoot and resolve technical issues.
  • Align client business and IT teams through cross-functional leadership.
  • Lead project scoping, estimation, and key activities to ensure quality deliverables.
  • Lead and facilitate client pre-sales and project workshops.
  • Serve as a trusted advisor to client and internal stakeholders, demonstrating functional, technical, and strategic leadership.
  • Architect GenAI-enabled governance patterns integrated with Collibra, Informatica, and Alation, including catalog enrichment, glossary copilots, and lineage documentation assistants.
  • Define integration approaches for Claude and other LLMs, including API management, guardrails, retrieval from approved knowledge sources, and logging and monitoring.
  • Ensure data governance foundations support clients adopting and scaling AI responsibly.
  • Contribute to Pre-Sales and Business Development for the Data Governance domain.
  • Identify and develop use cases, POCs, and demos demonstrating end-to-end governance of Life Sciences data assets, including internal application data and third-party data.
  • Develop GenAI-led governance use cases, POCs, and demos, such as auto glossary generation, classification, and lineage documentation, to support pre-sales and workshops.
  • Design and create solutions and accelerators across Data Governance tenets.
  • Author solutions for client pain points through Points of View, Thought Leadership, and white papers.
  • Work with cross-functional teams and lead the development and delivery of RFP responses.
  • Coach and mentor junior team members, and provide training and support to internal employees and customers.
  • Build Data Governance competencies and skills across the practice, both functional and technical.

Desired Qualifications

  • Prior consulting experience.

About the Company

Axtria

Healthcare data analytics software and AI

Axtria provides software products and AI-enabled analytics for healthcare to help clients manage and analyze data, boosting productivity and efficiency. Its products include DataMAx for cloud data ingestion, InsightsMAx for AI-powered data science, CustomerIQ for planning customer experiences, SalesIQ for aligning sales with operations, and MarketingIQ for brand attribution. The company differentiates itself by focusing on healthcare and offering an integrated suite of data management, analytics, and execution tools tailored to that sector. Its goal is to help clients achieve better patient outcomes and stronger digital capabilities through data-driven solutions.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$446.2M
Headquarters
Berkeley Heights, NJ
Founded
2010

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