Company Name: Continued

Job Details: Be,an,Early,Applicant,Hiring,Remotely,in,Austin,,TX,In-Office,or,Remote,Senior,level

Job Url: https://builtin.com/job/director-data-ai-engineering-remote/6540088

Job Description: Location: RemoteWork anywhere in the US, must live in the USAt Continued, we put data and AI at the core of everything we do. We are seeking a visionary technology leader to deliver best-in-class data and AI solutions across the ecosystem. Join a global team of engineers, analysts, and data scientists dedicated to supporting professional development in a fast-paced, agile environment.ABOUT THE COMPANYA leader in online education, Continued is composed of passionate individuals dedicated to empowering professionals, enhancing careers, strengthening teams. We are fast-paced, nimble, and laugh a lot. We all work from home offices in various locations across the country. We are dynamic, engaged, highly motivated, and highly skilled. We are passionate about our work and our professions and we’re looking for another team member to join our cause. We are certified as a great workplace, ranked #74 in Fortune’s 2024 Best Small & Medium Workplaces for Millennials, ranked #57 in Fortune's 2024 Best Medium Workplaces and ranked #12 in Fortune's 2024 top 25 Small & Medium Workplaces for Women by the independent analysts at Great Place to Work®. Learn more about us at continued.com and parent company lacallegroup.com.ABOUT THE TEAMThough we are virtual and scattered across the country, we communicate frequently, have a tight-knit team, and support each other across roles and projects. We are driven by endless curiosity, a love of learning, and a desire to solve problems.ABOUT THE POSITIONThe Director of Data and AI Engineering is a key leadership role reporting into the SVP of AI, Data, and Operations. This role will be accountable for building, maintaining, and continually improving infrastructure, applications, and data assets to support data-driven decision making and automation throughout the enterprise. The role requires both high level leadership of the team and hands on development.Full-time W2 position, work core U.S. business hours in your time zoneWork from your home officeCompany-provided MacBook, internet stipend, etcMust have the ability to fulfill the job requirements with or without reasonable accommodationsMust be located in the United States and be legally eligible to work for usTravel is required for an all-company meeting, and may be required a few times per year for team or project meetingsWe offer comprehensive medical, dental, and vision group health insurance, flexible spending accounts, accident insurance, and moreWe offer 21 days of flexible paid time off per year (increases with tenure) as well as your birthday and holidays (you may substitute any of the standard holidays for another public holiday such as bank/school or other regional or religious holidays)We offer a 401k match, professional development, charitable gift matching, robust wellness programs, and moreRESPONSIBILITIESAttract, develop, and retain top engineering and analytics talentLead the creation of solution architectures that support data, analytics, and AI systemsImplement and maintain best-in-class infrastructure to support data and AIDevelop data pipelines leveraging Fivetran, Python, dbt, and SnowflakeBuild insightful dashboards in Tableau for stakeholders across the enterpriseLeverage LLMs and related technologies to support fully automated agentic workflowsTake accountability for the technical delivery of data and AI projects and programsREQUIREMENTSBachelors degree in Computer Science or related field. Masters degree preferred5+ years of experience managing data teams preferred Expertise in data warehousing and data pipelines. Specific experience with Fivetrain, Snowflake, and dbt highly preferredExtensive experience with data visualization and BI tools (i.e. Tableau, PowerBI, etc)Expertise in Python (including numpy, pandas, scikit-learn, and use of Notebooks), SQL, and AWS developmentExperience with LLMs, agentic workflows, and machine learning are highly preferredUnderstanding of customer and marketing data in a subscription based business highly preferredDemonstrated ability to deliver large, complex data and AI projects in an agile fashionDeep understanding of data and AI governance principles TO APPLYTo apply, please submit a cover letter with your application. In your cover letter, we’d love to hear about: 1) why you would make a great addition to our team; and 2) a project achievement you are particularly proud of and why AND/OR something you’ve learned recently.