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.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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