Job Description Summary
#LI-Hybrid

This position will be located at East Hanover, NJ site and will not have the ability to be located remotely. This position will require 10% travel as defined by the business (domestic and/ or international).

1 role - KPI Governance & Councils
1 role - Governance Platforms
1 role - Data Access & Security

Job description summary
If you are energized by building new capabilities, bringing clarity to complex data environments, and helping Novartis use data responsibly and confidently, we invite you to apply.

We are hiring three (3) Associate Director, Data Governance Solutions Leads to join the Data Governance Solutions team within Strategy, Platforms & Transformation (SPT). Together, these leaders will help build and scale enterprise governance capabilities that make data easier to understand, access, protect, and use with confidence.

Candidates may be considered for one of the three specializations that most closely align with their experience and technical background.

1.KPI Governance & Councils: In this role, you will establish and lead enterprise approaches for defining, managing, and governing key performance indicators. You will help create a consistent source of truth for metrics and strengthen how leaders evaluate business performance.
2.Governance Platforms: Build-and-run owner for the Data governance platform. This person stands up the Data Governance platform as the unified system of record for catalog, lineage, glossary, and data contracts, then keeps it healthy in production. Directly enables the Data Command Center's data pipeline-health, observability, and incident-management panels.
3.Data Access & Security: Operates fine-grained, policy-based (attribute/purpose-based) access control across Novartis data layers. This role is responsible for enabling and scaling fine-grained data access controls in production for both Humans and AI agents.

Job Description

Key Responsibilities:

• Provide strategic and operational leadership for a key enterprise data governance capability, translating business priorities and data strategy into scalable solutions.
• Help define, implement, and continuously improve governance frameworks, operating models, policies, standards, controls, and decision rights.
• Partner with business leaders, data owners, technology teams, analytics functions, privacy, legal, security, and compliance stakeholders to align governance priorities and drive adoption.
• Establish clear ownership, accountability, and escalation paths for governance decisions, risks, issues, and remediation activities.
• Support the execution of the enterprise data strategy and the development of Data Command Center capabilities by improving visibility into data health, access, performance, and governance.
• Lead cross-functional forums, working groups, or implementation activities that enable timely decisions and measurable outcomes.
• Develop meaningful reporting, scorecards, and performance indicators that communicate governance maturity, adoption, risk, and operational health to senior stakeholders.
• Manage relationships with external vendors and implementation partners, including scope, deliverables, milestones, quality, risks, and budget considerations.
• Identify opportunities to simplify governance processes, strengthen controls, improve user experience, and accelerate responsible access to trusted data.
• Champion a practical, collaborative governance culture that balances business enablement, innovation, risk management, and regulatory expectations.

Essential Requirements:

Education: Bachelor's degree in Business Administration, Information Systems, Data Management, Engineering, Finance, or a related field.

KPI Governance & Councils / Governance Platforms Roles

• Minimum 8+ years in data platform engineering or data governance tooling; hands-on experience standing up a catalog/governance platform from scratch (Collate /OpenMetadata, Atlan, Collibra, or Alation). Preferred in Pharma or Life Sciences industries
• Strong SQL and working knowledge of Snowflake; experience integrating catalog tools with cloud data warehouses.
• Understanding of data lineage, metadata management, and data-contract concepts (ODCS or equivalent).
• Experience managing implementation vendors/surge teams against scope and timeline.
• Comfortable operating in an ambiguous, build-phase environment and turning a target-state diagram into running infrastructure.

Data Access & Security Role

• Minimum 8+ years in data access governance, identity & access management, or data security within a regulated industry. Preferred in Pharma or Life Sciences industries
• Hands-on experience with Immuta (or equivalent policy-based access tools - Privacera, Satori) and Snowflake RBAC/row-column security.
• Working knowledge of HIPAA, GDPR, and pharma-specific compliance regimes (OIG, Sunshine Act, 340B) as they affect data access design.
• Experience designing access frameworks for non-human/agent identities is a strong plus given the agentic AI direction of this program.
• Comfortable operating at the intersection of engineering, legal, and compliance.

Novartis Compensation Summary:

The salary for this position is expected to range between $145,600.00 and $270,400.00 per year.

The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

Salary Range
$145,600.00 - $270,400.00

Skills Desired
Cross-Functional Collaboration, Customer Engagement, Customer Insights, Data Analytics, Digital Marketing, Market Research, Media Campaigns, Product Marketing, Stakeholder Engagement, Stakeholder Management, Team Leadership, Waterfall Model