Data Cloud Governance Manager

About the role

Novartis seeks an accomplished product leader to serve as Data Cloud Governance Lead, reporting to the Director, PO Audience Activation & Marketing Intelligence. The role owns the enterprise governance framework for shared Data Cloud capabilities, ensuring access, data protection, security, privacy, tagging, masking, and cross‑boundary data sharing are designed and operated consistently. It translates enterprise policies and regulatory expectations into actionable platform guardrails, partners with the IT Center of Excellence and architecture teams, and enables responsible delivery across Data Spaces without unnecessary friction. The position is based in East Hanover, NJ with a hybrid schedule (3 days on‑site Monday‑Thursday, 2 days remote).

Responsibilities

• Govern enterprise policies: Own and evolve central attribute‑based access control policies, tagging standards, dynamic masking rules, encryption expectations, and cross‑space data‑sharing guardrails.
• Manage governance intake: Receive and qualify requests for new access policies, tags, privacy controls, compliance rules, and exceptions; document scope, rationale, risk, and decision requirements.
• Assess risk and compliance: Evaluate proposed Data Streams, Data Lake Objects, integrations, and use cases for privacy, security, data protection, and regulated‑data considerations, including PHI and PII where applicable.
• Translate policy into backlog: Convert governance needs into clear epics, features, policy updates, acceptance criteria, and implementation plans for platform and engineering teams.
• Support prioritization and backlog planning: Prioritize enterprise governance work based on risk, strategic value, dependencies, and platform capacity; maintain a transparent governance backlog and decision log.
• Provide PI planning assurance: Validate compliance and complete security reviews for new Data Streams, shared Data Lake Objects, and related enterprise capabilities before committed delivery.
• Lead control design and validation: Partner with IT, architecture, privacy, legal, security, and engineering teams to design practical controls and verify that controls are implemented as intended.
• Audit and monitor compliance: Establish evidence‑based reviews of platform configurations, access, encryption, masking, tagging, and cross‑boundary sharing; drive remediation of identified gaps.
• Enable scalable self‑service: Publish reusable standards, decision criteria, templates, and guidance that allow Data Space teams to design compliant solutions earlier in the lifecycle.
• Communicate governance decisions: Explain policy intent, trade‑offs, approvals, conditions, and exceptions clearly to business and technical stakeholders.

Qualifications

• Bachelor’s degree in data, technology, business, engineering, computer science, or a related field required; advanced degree preferred.
• Fluent English; other languages are desirable.
• 5+ years of experience in data governance, privacy, security, risk, compliance, product management, or platform governance roles.
• Strong understanding of enterprise data controls, including access management, classification and tagging, masking, encryption, consent, retention, and controlled data sharing.
• Experience translating policy and regulatory requirements into platform standards, technical requirements, and delivery acceptance criteria.
• Demonstrated success working across business, IT, architecture, security, privacy, legal, data engineering, and product teams in a matrixed environment.
• Strong written and verbal communication skills, with the ability to explain complex control requirements to both technical and business audiences.
• Preferred: Hands‑on familiarity with Salesforce Data Cloud governance capabilities, data models, Data Streams, Data Lake Objects, and platform access patterns.
• Preferred: Experience in pharma, life sciences, healthcare, or