Data Cloud Governance Manager

HireLifeScience; East Hanover (NJ); Hybrid; USD 120,000 - 180,000; Full time

Job summary

HireLifeScience is seeking a Data Cloud Governance Manager to lead enterprise data governance within the US market. The role focuses on policy development, access controls, tagging, masking, encryption, and data-sharing guardrails across Data Space teams.

It requires translating policy into actionable backlogs for platform and engineering teams, aligning with privacy and security requirements. The ideal candidate has 5+ years in data governance or related fields, strong cross-functional

Qualifications

• Bachelor's degree in data, technology, business, engineering, or related field.
• 5+ years of experience in data governance, privacy, security, risk, compliance, product management, or platform governance.
• Strong understanding of enterprise data controls: access management, tagging, masking, encryption, consent, retention, and controlled data sharing.
• Experience translating policy and regulatory requirements into platform standards and delivery criteria.
• Demonstrated success working across business, IT, architecture, security, privacy, legal, data engineering, and product teams.

Responsibilities

• Own and evolve central access control policies, tagging standards, dynamic masking rules, encryption expectations, and cross-space data-sharing guardrails.
• Receive and qualify requests for new access policies, tags, privacy controls, compliance rules, and exceptions; document scope, rationale, risk, and decisions.
• Evaluate proposed Data Streams, Data Lake Objects, integrations, and use cases for privacy, security, data protection, and regulated-data considerations.
• Convert governance needs into epics, features, policy updates, acceptance criteria, and implementation plans for platform and engineering teams.
• Prioritize enterprise governance work based on risk, strategic value, dependencies, and platform capacity; maintain a governance backlog and decision log.
• Validate compliance and complete security reviews for new Data Streams and Data Lake Objects before delivery.
• Partner with IT, architecture, privacy, legal, security, and engineering to design practical controls and verify implementation.
• Publish standards and guidance to enable Data Space teams to design compliant solutions earlier in the lifecycle.

Skills

Data governance

Policy management

Stakeholder alignment

Backlog grooming

Risk assessment

Data security

Regulatory compliance

Product management

Education

Bachelor's degree

Tools

Salesforce Data Cloud

Job description

Job Title: Data Cloud Governance Manager
Location: East Hanover, NJ Hybrid (3 days (Mon-Thurs), 2 remote)
Pay rate: ***/hour - ***/hour (Lowest would be better)

Job Purpose

*** is on a mission to transform medicine and improve lives worldwide. As a global leader in healthcare, we leverage advanced technology and data to deliver patient-centric solutions, enhance customer engagement, and drive innovation. We collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. The US CRM organization sits within Strategy, Platforms & Transformation (SPT) - AI & Platform Products and plays a crucial role in driving the transformation to a next-generation Customer360 operating model.

*** seeks an accomplished product leader with a track record of turning business demand from multiple commercial functions into a well-managed data product backlog. Strong prioritization judgment, stakeholder partnership, and hands-on data fluency are essential to success in this role.

Major Accountabilities

• 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.

Key Performance Indicators

KPI area What good looks like

• Control effectiveness Governance controls are implemented, testable, and operating as designed.
• Review timeliness Security, privacy, and compliance reviews support planning and release decisions without avoidable delays.
• Policy coverage Shared Data Cloud capabilities are covered by current access, tagging, masking, encryption, and sharing standards.
• Audit and remediation Findings, exceptions, and remediation actions are documented, owned, and closed transparently.
• Decision quality Governance decisions are consistent, risk-based, traceable, and clearly communicated.
• Stakeholder adoption Data Space and delivery teams use governance guidance early and report clear, actionable support.

Ideal Background

• 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.
• Experience in pharma, life sciences, healthcare, or another regulated and data-intensive industry.
• Knowledge of agile product delivery, risk-based controls, audit evidence, and enterprise architecture governance.

Leadership Competencies

Navigate complexity

• Enable impactful and timely decision-making across business, data, technology, privacy, and compliance stakeholders.
• Identify the critical issues in complex situations, maintain focus on enterprise outcomes, and adapt priorities as conditions change.
• Take a long-term view of platform sustainability, downstream impacts, and reusable enterprise capabilities.

Deliver collective impact

• Integrate diverse perspectives to achieve the best outcome for the enterprise.
• Influence without authority and collaborate effectively across organizational boundaries.
• Challenge assumptions constructively and make decisions grounded in evidence.