Senior Manager, Data Strategy

Job not on LinkedIn

🕒 April 1

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

👔 Manager

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ServiceTitan

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

☁️ SaaS

🤝 B2B

🏪 Marketplace

💰 $200M Series G on 2021-06

SaaS • B2B • Marketplace

ServiceTitan is a comprehensive software platform designed for the trades industry, providing solutions to enhance productivity and profitability for businesses. It offers a variety of features including dispatching, scheduling, marketing, reporting, and customer experience tools, tailored for trades like plumbing, HVAC, electrical services, and more. ServiceTitan seeks to empower businesses by optimizing operations, improving cash flow, and delivering superior customer experiences through an all-in-one platform. The software includes real-time data analytics, financing options, and mobile capabilities to support the operational needs of contractors and increase their revenue streams. By consolidating multiple business functions into a single platform, ServiceTitan aims to help contractors grow profitably and efficiently.

📋 Description

• 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 ServiceTitan portfolio of products. • Establish a well-coordinated technology roadmap for data products, leveraging engineering in support of the broader company product and growth goals. • 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 ServiceTitan. • Hire, manage, grow and retain a high performing 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.

🎯 Requirements

• Preferred Experience AI & Machine Learning understanding • Infrastructure automation technologies like Docker and Kubernetes. • Event Driven Architecture • 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

🏖️ Benefits

• 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 Linkedin 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