Data Governance & Reporting Analyst

Company Description

About Syngenta

At Syngenta Crop Protection, we're pioneering solutions that safeguard global food security while championing sustainable agriculture. As a world market leader headquartered in Switzerland, we empower farmers with innovative crop protection technologies that defend against nature's toughest challenges. We unite advanced science with digital solutions to develop intelligent crop protection that maximizes yields while minimizing environmental impact. Join our mission of revolutionizing plant protection from seed to harvest.

Job Description

At Syngenta, trusted data and innovative analytics are essential to driving smarter business decisions and advancing our digital transformation.

We are seeking a Data Governance & Reporting Analyst to bridge business priorities with reliable data, scalable analytics solutions, and sustainable digital products. This role offers a unique opportunity to influence how data is governed, managed, and transformed into meaningful business insights across North America.

The position combines two equally important areas of responsibility: Data Governance & Data Products and Analytics Application Ownership & Delivery. Working collaboratively with business stakeholders, data owners, technology teams, and global partners, you will help establish effective governance practices, modernize reporting capabilities, and deliver analytics products that create measurable business value.

If you enjoy connecting people, processes, and technology to solve complex business challenges, this is an opportunity to make a meaningful impact.

This is a fully remote position; however, candidates must be able to travel to our Greensboro, North Carolina, location as needed to support business operations, meetings, and other organizational priorities.

Accountabilities

Data Governance & Data Products

- Establish and support practical data governance frameworks, including ownership, stewardship, standards, controls, decision rights, and escalation processes.
- Collaborate with business data owners and stewards to define critical data elements, business terminology, data quality expectations, and acceptance criteria.
- Maintain and enhance enterprise data catalog information, including metadata, business definitions, ownership, lineage, and analytics product relationships.
- Coordinate the prioritization and resolution of data quality issues by assessing business impact, engaging accountable teams, and monitoring corrective actions.
- Define and manage reusable data products, including their purpose, target users, business outcomes, service expectations, adoption measures, and lifecycle requirements.
- Promote governed data products and sustainable analytics solutions while minimizing duplication and ensuring alignment with privacy, security, and compliance requirements.
- Integrate data governance principles into emerging AI-enabled products and enterprise digital transformation initiatives.

Analytics Application Ownership & Delivery

- Partner with business stakeholders to identify analytics needs, define business outcomes, and translate requirements into actionable user stories, acceptance criteria, and measurable deliverables.
- Own and prioritize analytics product backlogs and roadmaps, balancing business value, resource capacity, dependencies, risks, and long-term sustainability.
- Guide analytics solutions throughout the product lifecycle, including discovery, design, development, implementation, adoption, continuous improvement, and retirement.
- Lead reporting modernization and rationalization efforts by promoting reusable solutions, evaluating new dashboard requests, and supporting legacy reporting transitions.
- Provide product ownership for the existing Qlik reporting environment, partnering with technical specialists to evaluate requirements, prioritize enhancements, and support transition activities.
- 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 while supporting SAP S/4HANA and other enterprise transformation initiatives.

Qualifications

- 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 to support informed business and governance decisions without requiring hands-on data engineering expertise.
- Excellent communication, problem-solving, organizational, and stakeholder management skills, with the ability to collaborate across business and technical teams. Fluency in English is required.

Preferred Qualifications

- Experience with enterprise reporting and visualization platforms, particularly Qlik Sense or comparable business intelligence solutions.
- Familiarity with enterprise data catalogs and modern analytics platforms, including Alation, Databricks, or similar technologies.
- Experience supporting ERP modernization, SAP S/4HANA implementations, or enterprise reporting transformation initiatives.
- Knowledge of data product lifecycle management, reporting rationalization, and reusable enterprise analytics solutions.
- Experience coordinating multidisciplinary teams, external suppliers, or globally distributed delivery resources.
- Understanding of AI-enabled analytics, large language model (LLM) applications, and the importance of high-quality governed data.
- Experience applying change management and stakeholder engagement strategies to drive technology adoption and organizational transformation.

Additional Information

- Authorized to work in the United States without sponsorship

What We Offer:

- A culture that celebrates belonging and collaboration, promotes professional development and strives for a work-life balance that supports the team members. Offers 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, among other benefits.

Syngenta has been ranked as a  top employer  by Science Journal. Learn more about our  team  and our mission here:  https://www.youtube.com/watch?v=OVCN_51GbNI

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

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