Director, BI & Data Operations
Job in
Vancouver, BC, Canada
Listing for:
Later
Full Time
position
Listed on 2026-03-02
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst, Data Science Manager
Job Description & How to Apply Below
Later is seeking a strategic-minded professional to take on the Director, Business Intelligence & Data Operations role responsible for managing and driving the Company's Business Intelligence Function which includes Data architecture, engineering, Analytics and Governance. This individual will play a key leader in our organization and will also be hands-on in implementing and refining our processes and data.
Reporting to the Vice President of Revenue Operations, you will play a critical role in advancing Later’s data-driven initiatives, Refining and driving our internal repointing and analytics strategy, and owning the centralized warehouse for the Whole of Company's Internal reporting.
If you’re a player and a coach, who has the ability to lead up, and is passionate about data that drives a company forward, we want to hear from you.
What you'll be doing:
Leadership
Oversee the hiring and training of new and existing staff, conduct performance reviews, and provide leadership, technical guidance, and coaching to staff.Build organizational talent by creating a learning environment that ensures employees realize their highest potential.Collaborate with the product, sales and marketing, operations, finance, and IT teams on prioritized technical solutions.Provide technical leadership in data architecture, ensuring the best data modeling, storage, and retrieval practices.Facilitate the best practices in Master Data Management across the company.Manage your team’s sprint goals, stories, and deliverables.Effectively convey the company’s strategy and vision to the data team and enable the team through organized meetings, coordinated initiatives, and cross-team coordination.Ensure Process and Procedural documentation is accurate and updated.Data Strategy & Infrastructure
Oversee the integration of data sources to create a unified and comprehensive view of company performance.Champion utilization of business intelligence technology across business functions. Lead and develop an enterprise approach to operational analytics, data visualization, analysis, and modeling.Ensure GCP architecture is appropriately set up to enable ease of data flow from disparate applications across the enterprise.Develop and maintain a comprehensive tag management strategy, ensuring accurate data collection and adherence to best practices.Drive the design and optimize data visualization tools to provide actionable insights that enhance business decision-making.Develop and communicate a comprehensive data management and automation strategy aligned with organizational goals; stay informed about industry trends, emerging technologies, and best practices to enhance the data ecosystem roadmap continually.Problem Solving & Collaboration
Develop strategies to leverage data for operational metrics, sophisticated data analysis, and advanced data modeling to solve business problems.Ensure the Data Science team's solutions clearly reflect and effectively solve the business problem in question. Perform code reviews as required.Manage a portfolio of business intelligence projects to ensure on-time delivery.Troubleshoot data-related issues, identify root causes, and direct solutions to prevent recurrence.Comfortable with ambiguity and flexible to work in a fast-paced, fluid environment where formal requirements or guidelines may not always be readily available.Collaborate with multiple departments to track requirements and performance, generate insights, and help create a Data roadmap to Impact Overall Company outcomes.What we are looking for:
8+ years of experience in data management, analytics, or related roles3+ years of leadership experience building, managing, and leading high-performing, diverse, collaborative, and geographically distributed data teams.Bachelors or Master's in Statistics, Computer Science, Math, Physics, Econometrics, or other technical fields.Strong understanding of data pipeline and automation tools, data governance, and enterprise-level systemsExperience with segment.io, Mode, Stitch, and Google Big QueryExperience with AWS/GCP cloud services such as GCS/S3, Lambda/Cloud Function, Athena, and DynamoDBStrong…
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