Data Governance Analyst

Syngenta Group

. Establish and support practical data governance frameworks, including ownership, stewardship, standards, controls, decision rights, and escalation processes .

Posted 11/3/2026full-timeRemote • North Carolina • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data governance frameworks, analytics product management, and stakeholder engagement, with a strong focus on data quality and compliance. Proficient in managing analytics product lifecycles and integrating data governance principles into enterprise initiatives.

Highest-signal resume keywords

Data GovernanceAnalytics Product ManagementStakeholder EngagementAgile Delivery MethodologiesData Quality Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data OwnershipMetadata ManagementBusiness Requirements AnalysisBacklog PrioritizationData Quality ControlsUser Acceptance TestingData Product Lifecycle ManagementReporting RationalizationAnalytics Needs IdentificationDecision Rights Management

Soft Skills

Excellent CommunicationProblem-SolvingOrganizational SkillsStakeholder Management

Tools & Technologies

Qlik Reporting EnvironmentQlik SenseAlationDatabricksSAP S/4HANA

Industry Keywords

Data Governance FrameworksEnterprise Data CatalogDigital TransformationAI-Enabled ProductsChange Management

Tech Stack

Tools & technologies

ERP

About the role

Key responsibilities & impact

Establish and support practical data governance frameworks, including ownership, stewardship, standards, controls, decision rights, and escalation processes
Define critical data elements, business terminology, data quality expectations, and acceptance criteria with business data owners and stewards
Maintain and enhance enterprise data catalog information, including metadata, business definitions, ownership, lineage, and analytics product relationships
Coordinate prioritization and resolution of data quality issues and monitor corrective actions
Define and manage reusable data products, including purpose, target users, business outcomes, service expectations, adoption measures, and lifecycle requirements
Promote governed data products and sustainable analytics solutions aligned with privacy, security, and compliance requirements
Integrate data governance principles into AI-enabled products and enterprise digital transformation initiatives
Identify analytics needs, define business outcomes, and translate requirements into user stories, acceptance criteria, and deliverables
Own and prioritize analytics product backlogs and roadmaps
Guide analytics solutions through discovery, design, development, implementation, adoption, continuous improvement, and retirement
Lead reporting modernization and rationalization efforts
Provide product ownership for the existing Qlik reporting environment
Coordinate cross-functional delivery teams and external partners, facilitate Agile activities, manage dependencies, and communicate project progress, risks, and decisions
Drive stakeholder engagement, product demonstrations, user acceptance testing, release readiness, and adoption
Support SAP S/4HANA and other enterprise transformation initiatives

Requirements

What you’ll need

Bachelor’s degree in Information Management, Business, Technology, Analytics, or a related discipline, or equivalent relevant experience
8+ years of experience in data governance, data management, business intelligence, analytics product ownership, business analysis, or digital product delivery
Demonstrated experience implementing or supporting enterprise data governance practices, including data ownership, stewardship, metadata management, data quality, and governance controls
Proven experience managing analytics products or reporting portfolios, including requirements gathering, backlog prioritization, delivery coordination, stakeholder engagement, and product lifecycle management
Strong understanding of analytics product management, business requirements analysis, Agile delivery methodologies, and user acceptance processes
Ability to interpret data flows, models, and technical dependencies without requiring hands-on data engineering expertise
Excellent communication, problem-solving, organizational, and stakeholder management skills
Fluency in English is required
Authorized to work in the United States without sponsorship
Preferred: experience with Qlik Sense or comparable business intelligence solutions
Preferred: familiarity with Alation, Databricks, or similar technologies
Preferred: experience supporting ERP modernization, SAP S/4HANA implementations, or enterprise reporting transformation initiatives
Preferred: knowledge of data product lifecycle management, reporting rationalization, and reusable enterprise analytics solutions
Preferred: experience coordinating multidisciplinary teams, external suppliers, or globally distributed delivery resources
Preferred: understanding of AI-enabled analytics and large language model (LLM) applications
Preferred: experience applying change management and stakeholder engagement strategies

Benefits

Comp & perks

A culture that celebrates belonging and collaboration, promotes professional development and strives for a work-life balance that supports the team members
Flexible work options to support your work and personal needs
Full Benefit Package (Medical, Dental & Vision) that starts your first day
401k plan with company match
Profit Sharing & Retirement Savings Contribution
Paid Vacation
Paid Holidays
Maternity and Paternity Leave
Education Assistance
Wellness Programs
Corporate Discounts