Director of Data & Analytics (Product & Strategy)

Posted 16 Days Ago
Hiring Remotely in United States
Remote
Expert/Leader
Software
The Role
The Director of Data & Analytics will lead the Data & Analytics team, define product strategies, ensure quality outcomes, and drive user adoption of data products. They will act as a technical lead in customer interactions while balancing various internal and external data-related priorities.
Summary Generated by Built In

Role Overview

We are seeking a dynamic, veteran leader to spearhead our Data & Analytics division, reporting to the CTO. This is a high-impact, strategic role where you will be the primary architect of our external-facing data strategy. You will bridge the gap between complex data engineering and high-touch customer value, ensuring that our SaaS portfolio provides market-leading insights directly to our users.

Key Responsibilities

  • Team Leadership & Performance: Full accountability for the growth, performance management, and hiring of the Data & Analytics team. You will build a culture of excellence, ensuring the team is structured to meet evolving business needs.
  • Accountability for Outcomes: Own the end-to-end execution of the team’s strategy. You are responsible for the quality, accuracy, and business impact of all outputs and outcomes generated against the roadmap.
  • Product Strategy & Execution: Proactively define the roadmap for in-product analytics and reporting features across our entire SaaS portfolio. You will turn raw data into a competitive differentiator that drives customer retention and expansion. Strong coordination and communication required with the wider Product Management and Engineering teams.
  • Go-To-Market (GTM) Leadership: Own the end-to-end launch of data products. This includes partnering with Marketing and Sales on positioning, training customer-facing teams, and directly measuring and driving user adoption post-launch to ensure the product delivers on its value proposition.
  • Customer Advocacy & Interaction: Act as the strategic technical lead in high-stakes customer meetings. You will translate complex data capabilities into business value for our most strategic enterprise clients.
  • Technical contribution: While this role is not expected to be routinely hands-on, the ability to do so to enable or support the team in achieving its roadmap and strategy may be necessary.
  • Strategic Prioritization: Masterfully balance three competing workstreams:
    1. Product Analytics: Customer-facing, embedded reporting features.
    2. Internal BI: Data-driven decision support for our internal Product, Sales, and Finance teams.
    3. Enterprise Custom Needs: Handling bespoke reporting requirements for Tier-1 global accounts.

Qualifications & Requirements

  • SaaS DNA: 10+ years of experience in Data/Analytics, with a proven track record working in Software-as-a-Service product companies multiple times.
  • Leadership Tenure: At least 3 years of experience in a Director-level role leading cross-functional teams, with full responsibility for hiring and performance management.
  • Technical Foundations: You must have "hands-on" roots, with prior experience in Data Engineer or Data Analyst roles. You possess deep practical knowledge of data lakes, data warehouses, ETL pipelines, and BI suites.
  • Tooling Familiarity: Technical and practical understanding of the modern data landscape, including familiarity with tools such as Snowflake, BigQuery, Databricks, PowerBI, Sisense, Looker, or similar.
  • Product Management Focus: Recent experience must be focused on leading teams with an emphasis on external product-embedded or adjacent reporting, including direct responsibility for product management and GTM execution.
  • Market Success & Adoption: Proven experience not only building product functionality but successfully launching it to customers and driving measurable engagement.
  • Portfolio Experience: Demonstrated experience managing data strategies for a portfolio of products, ensuring consistency in data governance and user experience across different applications.
  • Artificial Intelligence (AI) data experience: Demonstrated in-the-product experiences which involve the use of AI/ML capabilities used in customer-facing reporting and data insights.

Success Metrics for this Role

  • Team Growth & Retention: Success in hiring and developing top-tier data talent.
  • Feature & User Adoption: Percentage of active customers utilizing in-product reporting.
  • Roadmap Velocity: Ability to meet milestones across internal and external data workstreams.
  • Ownership: Clear and accountable execution with the team on the roadmap and strategy, evolving over time.

Top Skills

BigQuery
Databricks
Looker
Power BI
Sisense
Snowflake
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The Company
HQ: Denver, Colorado
155 Employees
Year Founded: 2017

What We Do

ServiceCore helps our customers Get More Done, and Stress Less. How? By supercharging their portable sanitation or roll-off businesses with software that cuts wasted time, manages jobs, optimizes routes, tracks inventory, and automates billing. The result? More revenue, satisfied customers, and happy staff. Speaking of happy staff, ServiceCore employees are talented and driven, and we know how to have fun! We celebrate a judgment-free culture that encourages you to be your authentic self. And we provide ample opportunities to learn and grow in a place where you feel supported. We care deeply about our people (and pets!). Every member of the ServiceCore team participates in our equity appreciation program. We’re in this together! ServiceCore is backed by Mainsail Partners, a private equity firm that specializes in helping software companies like ours accelerate growth.

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