At its core, Pavilion is a data company: Contract, supplier, and public agency data sits at the heart of our platform and is used to power real purchasing decisions for the thousands of local governments that use our platform.
Pavilion is looking for a Data Operations Lead to scale Pavilion’s government procurement data. In this role, you’ll own a core business function that directly drives user growth, revenue growth, and Pavilion’s social impact. You’ll own the strategy and execution of data acquisition and integrity, tackling the technical and people-related challenges necessary to grow Pavilion’s contract library.
This hybrid role is based in our downtown San Francisco office and is part of Pavilion’s Data, Engineering, and Product organization. The ideal candidate will be highly execution oriented and excited to flex their technical and problem-solving skills while developing deep functional expertise across operations, data analytics, and engineering.
What you will do:
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Grow data coverage on Pavilion: Own multi-channel data acquisition opportunities (gov partnerships, scraper pipelines, external vendors, and 3rd party collaborators etc.) to identify, prioritize, ingest, and clean production-quality data. Strong plus if you’re able to write scrapers and fix bugs yourself.
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Set the standard of excellence for user-facing data: Ensure freshness and accuracy of platform data. This will require leveraging your technical abilities (internal tools, SQL analysis) and executional skills to design, implement, and scale solutions.
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Collaborate with cross-functional partners: Work closely with the product and engineering teams to improve how we handle user-facing data in our product.
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Provide data support: Manage support requests from internal and external stakeholders to troubleshoot issues and improve data quality.
- Scale your work: Drive zero-to-one processes to improve data platform efficiency through automation, customer self-serve, and other potential solutions.
Who you are:
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Have 3+ years of industry experience in a data operations, data analytics, consulting, operations, or a similar role.
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Proven track record of operational excellence. You’re able to execute at a high velocity with great attention to detail. You enjoy operationally-intensive work. You have demonstrated success designing and scaling processes, especially related data ingestion and data quality.
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Technical expertise. You’re comfortable using SQL and spreadsheets, whether you’re building on your own or iterating on existing tooling to enable better workflows. You may have some coding experience in Python or another programming language. You’re excited about learning and growing your technical skills (e.g. learning Python or data-scraping libraries).
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An entrepreneurial ownership mentality. You’ve been able to consistently deliver impact, even when you’ve had to operate with high levels of ambiguity. You’re an owner at heart: you take responsibility for outcomes.
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Demonstrated ability to set and deliver on ambitious goals, learn quickly, and operate in ambiguity. You can point to many instances where you’ve had to learn something new or rapidly develop domain expertise to deliver impact.
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Outstanding communication and collaboration skills. You’re a practiced and clear communicator. You have strong intrapersonal skills: you’re able to navigate building relationships with different types of internal and external stakeholders, from in-the-weeds implementation partners to executives. You’re ready to both give and receive constructive and positive feedback and be a great teammate!
Pavilion’s compensation philosophy: Be generous with equity, meet needs with salary. We like to make our best offer to candidates up-front to promote fairness in compensation for all candidates.
- Salary: The expected salary range for this position is $144k - $153k
- Equity: We offer a higher than average equity package compared to companies in our stage