Director of Data Platform & Analytics

Honor exists to expand the world’s capacity to care.

We’re combining high tech with high-touch to deliver better home care for aging adults, better jobs for Care Professionals, and entirely new offerings to support the aging journey, at scale. 

Founded in 2014, and now a Series E funded “Unicorn” valued at over $1B, Honor leads the world’s largest home care network with the most advanced care platform. Our August 2021 acquisition of Home Instead has created a global company that’s revolutionizing how society cares for older adults, their families, and Care Professionals.

The Honor Care Platform combines local care and the most advanced technology to bring the highest quality care to more aging adults. 

Grow at Honor as part of a united team where everyone shows up authentically, shares ideas bravely, and solves complex problems! 

About the Work:

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 …