Head of Data

CAT TALES, INC.
Salt Lake City, UT, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$85,000.0 - $120,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Big Data Software as a Service Data Control Data Governance Data Infrastructure Python (Programming Language) SQL Databases

Job description

As Head of Data, you’ll build and lead the company’s data function while remaining deeply hands-on. This isn’t a traditional management role, you’ll personally analyze data, shape the technology stack, implement AI-driven workflows, and establish the analytical foundation that powers every strategic decision across the business. Working directly with leadership, you’ll combine technical expertise, business acumen, and AI to build a lean, high-impact data organization capable of operating at startup speed. What You’ll Do

  • Build and own the company’s data function from the ground up
  • Audit and improve existing data infrastructure, tooling, and processes
  • Lead a lean data team while remaining hands-on with analysis
  • Leverage AI to automate workflows and increase team productivity
  • Analyze large datasets to answer strategic business questions
  • Deliver investment-grade analyses, dashboards, and executive briefings
  • Establish data governance, reporting standards, and analytical best practices
  • Partner with Product, Finance, Operations, and Leadership to drive business decisions
  • Continuously improve the company’s AI-enabled data capabilities, We are seeking a highly analytical and business-minded Cost Data Control Analyst to join our Finance team. This role is ideal for a financial analyst with a strong accounting found…
  • 2 days ago, Data Reporting Analyst Sr or Sr II DOE Hybrid role (3 days/week in office) at our Burlington, Renton, Spokane, Vancouver, Portland, Medford, Salt Lake City, Boise, Lewiston, Farg…
  • 5 days ago +

Requirements

  • Experience in financial analysis, investment analysis, private equity, business analytics, or data-heavy roles within high-growth SaaS, fintech, or consumer technology companies
  • Strong hands-on experience working with large datasets
  • Excellent SQL and modern analytical tooling experience
  • Strategic mindset with strong commercial understanding
  • Experience implementing AI tools and AI-powered workflows
  • Outstanding communication and storytelling skills with executive stakeholders
  • Builder mentality with high ownership and execution focus
  • Based in the United States (Arizona preferred)

Nice to Have

  • Consumer fintech experience
  • Startup or founder-led environment
  • Business Intelligence platforms
  • Python, SQL, or modern analytics stack
  • Experience building data functions from the ground up
  • Investment banking, consulting, or private equity background

Benefits & conditions

  • Competitive salary plus meaningful equity
  • Flexible remote work
  • Health, dental, and vision insurance
  • Unlimited paid time off
  • High ownership with direct access to founders
  • Opportunity to build an AI-first data organization from day one
  • Collaborative, ambitious, and mission-driven culture

Build the AI-powered data function shaping the future of consumer financial wellness…, + $87,000-142,000 per year

About the company

When you apply, our AI-powered matching platform considers you not only for this opportunity, but also for other relevant roles across our network, one application can unlock multiple career opportunities. We only work with real companies hiring for live positions. If there’s a strong match, we’ll guide you through the process; if not, we won’t ignore you. About the Company Our client is building one of America’s leading AI-powered financial wellness platforms. Combining AI, automation, and financial intelligence, they’re creating a full-stack money coach that helps consumers build, manage, and grow their financial lives.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:58 min

Uncovering team dynamics through version control data analysis

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Defining big data and machine learning fundamentals

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Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

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Why organizations combine big data and machine learning

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Data-driven human resources alignment with executive leadership

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