Director of Data Platform & Analytics

We are looking for a Director of Data Platform & Analytics to serve as a critical leader within our data organization. You will be responsible for leading the teams that deliver high quality insights and curated data to the entire org. Your team will own our analytics data layer and self-serve BI tooling (Looker & Mixpanel) as well as the data platform infrastructure (Redshift, DBT, ML lifecycle pipeline) to ensure that our data stack works end to end.

About the work:

• Set the long-term technical direction for Data Platform & Analytics at Honor, such as establishing standards for transforming and curating data via dbt, and ensuring that our self-serve BI & data visualization tooling strategy enables data practitioners and business users to understand the health of the business.
• Define the strategy for how Honor approaches self-serve analytics and generation of insights, working cross functionally to ensure key stakeholders across the business have the tools and trainings to use data successful
• Manage the Data Analytics and Data Platform teams, including day to day execution and long term planning. You will partner with business stakeholders to understand each team’s data needs, prioritize them for impact, and coordinate the development of infrastructure or execution on deep-dive ad-hoc analyses that enable a data-driven culture.
• Oversee the design and implementation of data models that ingest and store raw data, transform into relevant information that can be used by Data Scientists, Analysts, and the business via SQL or self-service no-code tools (Looker)
• Work with recruiting to source qualified data candidates, improve our interview process, and make great hires to continue scaling the team.

About you: 

• 8-10+ years experience in a related field (business intelligence, analytics, data warehousing, platform engineering), with 3+ years experience in cross-functional data management roles
• Proven track record implementing and owning self-serve analytics platforms (e.g. Looker, Tableau, PowerBI) and/or modern data architecture, data modeling and data warehouse design
• Deep knowledge of industry best practices in self-serve analytics, analytics engineering, platform engineering and data governance.
• Exceptional written and verbal communication skills across multiple audiences, as well as demonstrated ability to manage business stakeholder relationships
• Experience managing data practitioners, including definition of team processes, responsibilities and expectations. A high level of organization and the ability to prioritize tasks and keep projects on schedule.
• A bias towards action and an iterative approach to problem-solving. Not afraid to roll up your sleeves and get into the data to answer a question.
• Bachelor's degree in Information Systems, Business, Engineering or related field, or equivalent training, fellowship, or work experience.