Data Governance & Reporting Analyst

Accountabilities: Establish and support practical enterprise data governance frameworks covering 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 improve enterprise data catalogs, including metadata, business definitions, ownership information, data lineage, and analytics product relationships. Coordinate the prioritization and resolution of data quality issues by evaluating business impact, engaging responsible teams, and monitoring corrective actions. Define and manage reusable data products, including their purpose, target users, expected business outcomes, service requirements, adoption measures, and lifecycle needs. Promote governed data products and sustainable analytics solutions while reducing duplication and ensuring alignment with privacy, security, and compliance requirements. Embed data governance principles into AI-enabled products and broader digital transformation initiatives. Partner with business stakeholders to identify analytics needs and translate requirements into user stories, acceptance criteria, and measurable deliverables. Own and prioritize analytics product backlogs and roadmaps, balancing business value, available resources, dependencies, risks, and long-term sustainability. Guide analytics products through their full lifecycle, from discovery and design to development, implementation, adoption, continuous improvement, and retirement. Lead reporting modernization and rationalization initiatives by promoting reusable solutions, evaluating dashboard requests, and supporting the transition from legacy reporting. Manage product ownership for the existing Qlik reporting environment, collaborating with technical specialists to assess requirements, prioritize enhancements, and coordinate transition activities. Coordinate cross-functional delivery teams and external partners, facilitate Agile ceremonies, manage dependencies, and communicate progress, risks, and key decisions. Drive stakeholder engagement, product demonstrations, user acceptance testing, release readiness, and adoption. Support SAP S/4HANA implementation and other enterprise transformation initiatives through analytics delivery and reporting improvements. Requirements: Bachelor's degree in Information Management, Business, Technology, Analytics, or a related discipline, or equivalent relevant professional experience. At least 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 testing processes. Ability to interpret data flows, data 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. Ability to collaborate effectively across business and technical teams and coordinate multiple priorities. Fluency in English. Authorization to work in the United States without visa sponsorship. 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 support technology adoption and organizational transformation. Benefits: Fully remote working arrangement within the United States. Flexible work options designed to support professional and personal needs. Comprehensive medical, dental, and vision insurance coverage starting on the first day of employment. 401(k) retirement plan with company matching contributions. Profit-sharing program and additional retirement savings contributions. Paid vacation and company holidays. Maternity and paternity leave. Education assistance and professional development opportunities. Wellness programs and corporate discounts. Collaborative and inclusive workplace culture focused on belonging, career growth, and work-life balance.