Quick overview
Job description
We are seeking a Data & BI Manager to drive the vision, roadmap and cross-functional delivery of enterprise data and business intelligence solutions that empower stakeholders with trusted data, actionable insights and self-service capabilities. The role serves as the primary bridge between product owners, business stakeholders, BI, data engineering, data governance and application development teams, ensuring platform initiatives are well planned, prioritized and executed. The ideal candidate combines product thinking, BI expertise, stakeholder management and program leadership to deliver scalable data products, integrated reporting experiences and roadmap-driven enhancements aligned to organizational objectives.
Own and maintain the strategic roadmap for the data and BI platform, defining short- and long-term goals and success metrics, and prioritizing initiatives based on business value, stakeholder needs, technical dependencies and resource capacity
Lead roadmap reviews and drive alignment across business, analytics, engineering and governance teams, ensuring platform capabilities stay aligned with reporting requirements and data modernization initiatives
Act as the central point of coordination across Data Engineering, BI, Data Governance, Product and Technology teams, facilitating cross-functional planning, dependency management and execution tracking
Proactively identify risks, blockers and competing priorities and drive them to resolution
Partner with BI Managers and Analytics teams to define reporting and dashboard strategy, and prioritize KPI reporting, executive dashboards, self-service analytics and business insights capabilities that are scalable, consistent and aligned to business objectives
Promote adoption of BI tools, analytics best practices and data-driven decision making across the organization
Collaborate with Data Governance teams to uphold data standards, policies and stewardship practices, supporting data quality, metadata management, access controls and compliance requirements
Drive governance reviews for new data products and reporting use cases, championing trusted and reliable data across all platform experiences
Serve as the primary liaison between business users and technical delivery teams, gathering, validating and prioritizing business requirements and building strong partnerships across business and technology functions
Translate business requirements into actionable delivery plans with development and analytics teams, overseeing release planning, backlog management and feature prioritization for enhancements, integrations, reports, dashboards and platform capabilities
Communicate roadmap progress, platform performance and upcoming releases to leadership and stakeholders, and monitor adoption, usage trends and business outcomes to continuously improve the platform
Required Qualifications:
Bachelor's degree in Information Systems, Data Analytics, Computer Science, Business or a related field
7+ years of experience in Data, Analytics, Business Intelligence, Product Management or Program Management roles
Experience working with BI and analytics platforms such as Power BI, Tableau, Looker or similar technologies
Strong understanding of data warehousing, reporting, analytics and data engineering concepts
Proven experience managing cross-functional initiatives involving multiple stakeholder groups
Experience translating business requirements into prioritized roadmaps and delivery plans
Strong communication, facilitation and executive presentation skills
Preferred Qualifications:
Experience with enterprise data and analytics platforms supporting reporting, insights, and decision-making.
Familiarity with data governance, privacy, compliance, and data stewardship practices.
Experience working in Agile environments using Jira, AWS, or similar tools.
Strong understanding of data modeling, KPI development, and business reporting frameworks.
Experience developing dashboards, scorecards, and self-service analytics solutions.
Relevant certifications in Agile, Project Management, Data Analytics, Cloud, or Business Intelligence platforms
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