Director, Business Intelligence & Data Systems - (Hybrid Austin, TX)

WeDriveU•San Antonio, TX

19h•Hybrid

About The Position

WeDriveU is the leader in shared mobility solutions that connect communities, campuses, and workplaces. WeDriveU operates private shuttle and public transit systems across the U.S serving millions of passenger journeys a year. The company's 5,500+ team members operate 4,000 vehicles across 55 U.S. locations, providing safe, reliable and sustainable options as part of a global family of brands serving more than 1 billion bus and rail passengers on four continents. Visit wedriveu.com to learn more about our company, clients and career opportunities. Job Description: We are seeking a highly analytical and strategic Director, Business Intelligence & Data Systems to lead our business intelligence function while driving cross-functional product initiatives. This hybrid role blends BI leadership, systems expertise, and product management discipline to ensure our data, technology, and analytics capabilities support the organization’s strategic goals. The ideal candidate is an experienced BI leader who excels at translating business needs into technical execution, shaping data structures across systems, and stewarding consistent data definitions company-wide. They will also own the software and technology services budget for the BI and analytics ecosystem.

Requirements

7–10+ years of experience in Business Intelligence, Data Analytics, Product Management, or related fields.
Proven experience leading BI teams or large-scale analytics initiatives.
Strong proficiency in requirements gathering, translating business needs into technical specifications, and managing product roadmaps.
Familiarity with data modeling, relational databases, and modern BI tools (e.g., Tableau, Power BI, Looker).
Experience influencing or contributing to data architecture or system data structures.
Demonstrated success in implementing data governance or managing enterprise data definitions.
Excellent communication skills with ability to engage senior leadership and technical teams alike.

Nice To Haves

Experience managing budgets and vendor contracts preferred.

Responsibilities

Lead the Business Intelligence function, including analytics, reporting, data modeling, and visualization.
Partner with executive and operational teams to develop a BI strategy aligned to business objectives.
Prioritize and manage the BI roadmap, ensuring high-impact delivery and continuous improvement.
Guide analysts and developers in best practices for structured analysis, modeling, and reporting.
Act as the product owner for internal data and analytics products, tools, and platforms.
Gather, document, and refine business requirements through interviews, workshops, and stakeholder engagement.
Translate business requirements into clear, actionable technical specifications for analysts, engineers, and internal and external business partners.
Drive backlog creation and prioritization in partnership with technical teams.
Ensure delivered solutions meet business needs and integrate seamlessly into operational workflows.
Own and maintain enterprise-wide data definitions, dictionaries, and data governance standards.
Collaborate with business leaders to align on key metrics, KPIs, and standardized definitions.
Serve as a data steward, ensuring clarity, consistency, and accuracy across reporting platforms.
Develop deep understanding of core operational, financial, and analytics systems.
Influence data model design and data structures within systems to support scalable analytics and downstream reporting.
Partner with IT, engineering, and vendors to optimize integrations, pipelines, and system-level data quality.
Own the annual software and technology services budget related to BI, reporting, analytics platforms, and other SaaS platforms.
Evaluate, select, and manage relationships with software vendors, consultants, and service providers.
Ensure cost-effective, high-value investments in analytics and data technologies.
Collaborate closely with Operations, Finance, Product, IT, and Executive teams to deliver insights and shape strategy.
Advocate for data literacy and promote a culture of data-driven decision-making across the organization.