Technical Manager, Core Data

Job Description

Ibotta is looking for a Technical Manager, Core Data to join our fast growing Strategic Analytics and Core Data team. This role will build and lead a team of data and decision scientists; as well as drive innovative solutions using machine learning, data analytics, and statistical modeling for Ibotta and its internal partners. The ideal candidate will have experience deploying models into production, the desire to serve as a leader across the department, ability to evangelize data science, and willingness to provide descriptive analyses when needed. You will also be responsible for working closely with cross-functional leaders to define and execute on Ibotta’s growth strategy.

This position is located in Denver, Colorado or with the option of full-time remote. Candidates must live in the United States.

What you’ll be doing:

• Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & Advocate for Savers
• Work with finance leadership to provide analytical insights that drive business decisions and growth
• Build and retain a team of highly motivated data and decision scientists
• Confidently speak with internal stakeholders about key business metrics
• Balance management of ad-hoc and core data deliverables
• Establish automated processes to scale insights across Ibotta
• Serve as a leader across the department, bringing operational and culture building best practices
• Research industry trends and standards to stay abreast of new developments and proactively suggest areas of improvement

What we’re looking for:

• 5+ years of experience in an analytical function with experience working directly with leadership
• 2+ years of management experience
• Experience hiring, leading, developing, and retaining talent
• Demonstrated analytical ability, conceptual thinking, and problem-solving skills
• Strong written and verbal communication skills, able to distill complex analytical solutions into actionable insights
• Excellent interpersonal skills with the proven ability to collaborate across functional areas
• Curiosity and the commitment to continually ask questions of our data and business
• Excels in a fast-paced environment with the capability to prioritize effectively
• Industry experience creating NLP, graph, ML, and/or advanced statistical modeling to build predictive and prescriptive models
• Experience using modern data analysis tools (SQL, Python, R, SAS, etc.) and data visualization tools (Looker, Tableau, Mode)

Built in Denver, CO, Ibotta ("I bought a...") is a free mobile shopping app that gives users cash back on groceries and more. Through our partnerships with brands and retailers like Procter & Gamble, Kraft Heinz, Kellogg, Amazon, Walmart, Target and Uber, we’ve delivered over $800 million in cumulative cash rewards to our Savers. Guided by our values and our mission to make every purchase rewarding, we come to work energized by the business problems we get to solve, the technology we get to build, and the people we get to innovate (and have fun) with. Ibotta made Inc.’s 2020 list of the 5000 fastest-growing private companies in the U.S. for the third consecutive year. In 2019, we became the first mobile consumer technology company in Colorado to achieve $1B in valuation.

About Us:

To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com

Additional Details:

• This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, 401k match, profit sharing and equity.
• Base compensation range: $135,000-$155,000. Total compensation for this role also includes a variable component in addition to base salary.
• Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.
• Applicants must be currently authorized to work in the United States on a full-time basis.
• For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.