• 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 that aligns with the organization's goals and objectives.
• Establish data governance policies and procedures that ensure the accuracy, consistency, and integrity of data.
• Define data quality standards, data classification procedures, and data lifecycle management processes.
• Define key performance indicators (KPIs) 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 DG operations.
• As an evangelist, drive the application of Data Governance concepts and promote a data-driven mindset and behavior.

Solution Architecture and Client Delivery

As a Data Governance Solution Architect, you will combine functional and technical depth on client engagements:

• Identify and understand client requirements, issues, and gaps in their DG organization, people, processes, and technical implementations, and recommend Data Governance solutions that meet immediate and long-term needs.
• Work closely with client partners to conceptualize and develop the right functional and technical solution architecture for the client's end-to-end data governance requirements.
• Design data governance solution frameworks covering all tenets of Enterprise Data Governance: Data Catalog, Metadata Management, Lineage Management, Business Glossary, Data Quality Management, Data Access and Controls, and Data Marketplace.
• Lead solution design leveraging DG platforms such as Informatica IDMC, Collibra, and Alation, or open-source and cloud-native capabilities (AWS, Azure, GCP).
• Drive thought leadership in DG technology platforms and selection, with expert knowledge and point of view on the leading platforms.
• Take ownership of the solution architecture on client projects, aligning it with the client's near-term and strategic objectives.
• Design and implement Data Governance projects as per requirements, and ensure the solution meets stringent quality criteria by reviewing test strategy, test plans, test cases, and their successful execution.
• Be ready, willing, and capable to do hands-on configuration and integration of Data Governance capabilities as needed, and troubleshoot and resolve technical issues.
• Demonstrate cross-functional leadership, aligning clients' business and IT teams.
• Lead project scoping, estimation, and key activities to ensure quality deliverables.
• Lead and facilitate client pre-sales and project workshops.
• Act and be seen as a trusted advisor by both client and internal stakeholders, demonstrating functional, technical, and strategic leadership.

AI-Enabled Data Governance

• Architect GenAI-enabled governance patterns integrated with Collibra, Informatica, and Alation, such as catalog enrichment, glossary copilots, and lineage documentation assistants.
• Define the integration approach for Claude and other LLMs, including API management, guardrails, retrieval from approved knowledge sources, and logging and monitoring.
• Ensure data governance foundations are ready to support clients embracing and scaling AI responsibly.

Business Development

• Actively contribute to Pre-Sales and Business Development for the Data Governance domain.
• Identify and develop use cases, POCs, and demos that demonstrate our capability in end-to-end governance of Life Sciences data assets, including common internal application data and 3rd 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 innovative solutions and accelerators across the 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.

Leadership and Internal Collaboration

• Coach and mentor junior team members, and provide training and support to internal employees and customers.
• Build the required DG competencies and skills across the practice, both functional and technical.

Desired Skills and Experience

Required

• Strong knowledge of data assets and data management principles in Pharma, Med Device, 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, Data Warehouse / Lakehouse architectures.
• Hands-on experience and proficiency in leading Data Governance tools such as Informatica IDMC, Collibra, and Alation across DG 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 applying AI to data governance capabilities (catalog, glossary, lineage, classification, access controls) with a strong compliance orientation.
• Excellent verbal and written communication; able to represent Axtria and lead discussions with both technical and business leaders in the organization.
• Excellent troubleshooting and problem-solving skills, with a strong aptitude for working with large data sets.
• Proven ability to handle multiple clients in an advisory capacity.
• Self-starter who can work independently or as a team player.
• Bachelor's degree in Computer Science.

Preferred

• Prior consulting experience.