Director, Business Intelligence

Who You'll be Joining: The Director of Business Intelligence heads a team of BI and data professionals. Your team oversees 50+ data pipelines, the unstructured data-storing data lake, and our BI data warehouse and schemas. As a data leader at ecobee, you'll work closely with our business stakeholders in Finance, Sales, Customer Support, Operations, Marketing, and Product to comprehend their data needs and the KPIs and metrics they use to measure success. Concurrently, you'll cooperate with our technology groups to comprehend various disparate data sources, extending from ecobee's public cloud to key business systems. You are a business and technology partner, adept and experienced in both spheres. Your task is to facilitate accurate, timely, actionable, and valuable self-served data insight for your stakeholders, allowing them to make optimal business decisions. How You'll Make an Impact: - Lead and supervise the BI team, comprised of BI Developers and Data Engineers - Collaborate with business stakeholders across the enterprise to thoroughly comprehend their data and insight needs - Work closely with Data Science to establish a clear plan of action as we advance towards achieving our data-mesh strategy and agree on a data governance framework - Closely collaborate with Engineering teams that own data producing systems across ecobee’s public cloud - Closely work with the Business Systems team, which supervises vital repositories of ecobee business data - Hold your upstream data partners accountable for the data's accuracy, quality, and timeliness their systems generate - Advocate for ecobee’s data security by teaming up with our Security team, making sure we are meeting or surpassing the data promise we offer to our customers - An immediate term focus on data quality – building trust in a single source of data begins with data quality - Enable self-service insight – your stakeholders are most efficient when they can work with their data in a structured, clear, and consistent way What You'll Bring to the Table - Our present ecosystem encompasses data repositories across Google Cloud Platform, Amazon Web Services, e-commerce solutions, Salesforce, and Netsuite. You have proven experience with these or similar solutions - Experience with SiSense or comparable BI Platforms - Experience with Matillion, HEVO Data, or equivalent ETL platforms - Experience with Google Cloud BigQuery enterprise data warehouse, or a similar platform - Experience with data cataloguing and data quality tools - Demonstrated experience working with a broad range of business stakeholders across several disciplines (Sales, Marketing, Customer Service, etc.) to deliver data insight and analytics - Proven experience working with engineering teams to comprehend and influence data in upstream systems - Significant experience building, leading, inspiring, and managing a high-functioning team - Experienced with metadata management with a focus on driving understandability and searchability of data - Comfortable working with senior leaders and influencing decisions. You can tailor your communication to the audience and easily pivot between business and technical considerations - Substantial experience managing an enterprise data warehouse and associated strategy. You can discuss the pros and cons of specific architectural approaches and frameworks (Kimball, Inmon, etc.) - You advocate for data-driven decisions and a robust data governance framework and have experience implementing and leading data governance within organizations of 500+ employees What happens after you apply? Application Review. It will occur. An actual person in Talent Acquisition will review your application. We get over 100+ applications for some roles, it might take a few days, but every applicant can anticipate a note regarding their application status. Interview Process (4 Rounds) - Round 1: 30-minute phone call with a member of Talent Acquisition - Round 2: 45-minute video interview with the Hiring Manager - Round 3: 45-minute video interview with a Technology Stakeholder - Round 4: 45-minute video interview with members of the BI Team