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Senior Manager, Data Strategy

Remote / Online - Candidates ideally in
Glendale, Los Angeles County, California, 91222, USA
Listing for: ServiceTitan
Remote/Work from Home position
Listed on 2026-01-06
Job specializations:
  • IT/Tech
    Data Science Manager, Data Engineer
Salary/Wage Range or Industry Benchmark: 20000 USD Yearly USD 20000.00 YEAR
Job Description & How to Apply Below

Service Titan is the world’s leading and fastest-growing software technology platform for the trades, a trillion-dollar global industry. We help small business entrepreneurs run and grow their businesses. For more information about Service Titan, visit

  • Work/Life Balance: flexible work schedule, flexible PTO
  • Family-Friendly Benefits: extended parental leave, pregnancy support, $20k in adoption reimbursement, Snoo Smart Sleeper, back-up childcare credits, legal benefit, discounted pet insurance
  • Enrichment: ongoing learning culture with access to Linked In Learning and professional development workshops, diversity charter groups, orientation program, career pathing opportunities, mentorship programs
  • Health & Wellness: company-paid medical/vision/dental/life insurance/disability, employer HSA contribution, free One Medical membership, care coordination support, 401(k) with company match, stipend for home office equipment/supplies, gym discounts, monthly cell phone stipend

Equal Opportunity Employer

Job Description

The engineering organization at Service Titan is looking for a leader who will build the data strategy to support our growth now and in the future. The ideal candidate will have experience with architecture of big data platforms, understanding of data science, and have grown and managed engineering teams. Ideal candidates will meet most, if not all, of the following criteria.

As our Senior Manager, Data Strategy, you will:

  • Define
    , prioritize, and deliver the strategy, architecture and implementation of platforms and tools for enabling real-time, data-driven decision making and customer insights across the Service Titan portfolio of products.
  • Establish a well-coordinated technology roadmap for data products, leveraging engineering in support of the broader company product and growth goals. The roadmap should deliver a mix of short-term wins and long-term capabilities for scale.
  • Design architectural frameworks for data entities, both internal and external, and develop data pipeline, storage, retention and integration methodologies including overall data governance.
  • Research and stay abreast of new technologies and industry trends. Incorporate new ideas that are well suited to advance the goals of Service Titan.
  • Hire
    , manage, grow and retain a high performance team that can meet both present and future needs by increasing and scaling data-driven decision making across the organization.
  • Partner with Data Science, IT, and other organizations to ensure effective reporting, dashboards, insights, analytics, and data-driven decision making are available to the business.
  • Ensure tools used are appropriate and suitable for the problem. Leverage AI/ML when necessary.
  • Ensure integration of data collection with data science requirements both for model development and real-time model execution.
  • Develop and implement solutions for data quality validation and continuous improvement.

To be successful in this role, you'll need:

Preferred Experience

  • Infrastructure automation technologies like Docker and Kubernetes.
  • Experience developing architectures that process data at scale and low latency.
  • Strong understanding of integration methods, APIs and services using REST.
  • Demonstrated ability to adapt to new technologies and learn quickly.
  • Strong written and presentation communication skills.

Preferred Technologies

  • Data warehousing and data modeling.
  • Microsoft Business Intelligence (Power BI).
  • Data reporting and visualization.
Additional Information

All your information will be kept confidential according to EEO guidelines.

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Position Requirements
10+ Years work experience
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