[All remote jobs](https://jobicy.com/jobs.md)[![Toast logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2020/12/WRILS-201210114200-563401.png)](https://jobicy.com/company/toast.md)[Toast](https://jobicy.com/company/toast.md) # Associate Product Manager, Data Governance Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/toast.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 82k–168k / yrDepartment[Product & Operations](https://jobicy.com/categories/management.md)EmploymentFull TimeExperienceSeniorPublished28 Oct 2026Apply before27 Nov 2026Listing views36Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. This Associate Product Manager role supports Toast’s Enterprise Data Governance Program and helps build a trusted, scalable data foundation. The position combines product operations, data governance, metadata management, dashboard ownership, and cross-functional stakeholder coordination. Key work includes maintaining governance documentation, facilitating Data Governance Council sessions, improving data catalog standards, and monitoring data quality and compliance. Candidates need at least two years of relevant experience plus practical knowledge of SQL, Snowflake, dbt, and enterprise data catalog tools. The role is suited to an analytically strong product professional who can translate business definitions into technical metadata requirements. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe role requires practical data-governance expertise alongside product execution, analytics, and technical fluency with modern data platforms. Success depends on independently coordinating varied stakeholders and operationalizing policies across a growing enterprise. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Highly competitive$125,000US market range (per year)$85k–$150k0$165k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Toast explicitly discloses base-salary bands of $82,000–$168,000 USD depending on geographic pay zone. The posting does not state a cadence, but yearly compensation is inferred from the six-figure US base-pay ranges and standard full-time product-role conventions. A reasonable estimated US market range for an associate product manager specializing in data governance is $85,000–$150,000 USD per year. ## Core skills Skills and capabilities most closely associated with this opportunity. [Data governance](https://jobicy.com/jobs?search_keywords=Data%20governance.md)[Product management](https://jobicy.com/jobs?search_keywords=Product%20management.md)[Metadata management](https://jobicy.com/jobs?search_keywords=Metadata%20management.md)[Data catalog management](https://jobicy.com/jobs?search_keywords=Data%20catalog%20management.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Snowflake](https://jobicy.com/jobs?search_keywords=Snowflake.md)[dbt](https://jobicy.com/jobs?search_keywords=dbt.md)[Data quality monitoring](https://jobicy.com/jobs?search_keywords=Data%20quality%20monitoring.md)[Business glossary development](https://jobicy.com/jobs?search_keywords=Business%20glossary%20development.md)[Data stewardship](https://jobicy.com/jobs?search_keywords=Data%20stewardship.md)[Data governance frameworks](https://jobicy.com/jobs?search_keywords=Data%20governance%20frameworks.md)[Dashboard development](https://jobicy.com/jobs?search_keywords=Dashboard%20development.md)[Cross-functional facilitation](https://jobicy.com/jobs?search_keywords=Cross-functional%20facilitation.md)[Compliance frameworks](https://jobicy.com/jobs?search_keywords=Compliance%20frameworks.md)[Technical documentation](https://jobicy.com/jobs?search_keywords=Technical%20documentation.md) Sample interview questionsHow would you approach implementing a business glossary for a new enterprise data domain?I would begin by identifying domain owners, stewards, and priority business decisions supported by the domain. I would facilitate working sessions to define terms, owners, calculation logic, sensitivity classifications, and relationships, then publish these definitions in the data catalog with a review and approval workflow. Finally, I would measure adoption and resolve duplicate or conflicting terminology through ongoing governance forums. What metrics would you include in a data governance dashboard? I would include metadata completeness, percentage of critical datasets with assigned owners and stewards, glossary adoption, lineage coverage, data-quality rule pass rates, policy exceptions, and time to resolve quality incidents. The dashboard should distinguish enterprise-level progress from domain-level accountability and enable teams to prioritize remediation. Describe how you would translate a business definition into technical metadata. I would confirm the business purpose, formula, scope, owner, and intended users with stakeholders. I would then map the definition to technical assets such as source tables, columns, transformations, lineage, data-quality checks, classifications, and access policies. I would validate the metadata with both business and engineering partners before publishing it in the catalog. How would you handle disagreement between Legal, Analytics, and Engineering about a data policy? I would clarify the underlying risk, business objective, and constraints for each group, then document the decision points and options. I would use the governance council or designated decision-maker to establish accountable ownership, agree on a policy, and capture any exceptions. Afterward, I would convert the decision into implementation requirements, documentation, and measurable controls. How have you used SQL to support data governance or data-quality work? I use SQL to profile datasets, identify null or duplicate values, validate referential integrity, compare metric outputs, and monitor conformance to required metadata or quality thresholds. I would package recurring checks into governed reporting so data stewards can see exceptions, investigate causes, and track remediation over time. Opportunity details ## About this role. Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. The Enterprise Data Solutions (EDS) team at Toast is on a mission to deliver a trusted, scalable, and governed data foundation that empowers every team to make decisions with speed and confidence. We are seeking an Associate Product Manager to join our Enterprise Data Solutions team. In this role, you will be a key contributor to the operational execution and strategic evolution of our Enterprise Data Governance Program. You will play a critical role in making Toast’s data trustworthy, compliant, and discoverable as the company scales its AI and data capabilities. A day in the life (Responsibilities) * Measurement: Stand up the dashboards to monitor that data requirements are being adhered to across the organization. * Design & Strategy: Support the facilitation of the Data Governance Council working sessions and act as a Subject Matter Expert for the enterprise Business Glossary. * Automation & Scalability: Partner with the data catalog team to streamline metadata standards, automating data discovery across business platforms and analytics tools. * Governance & Documentation: Develop comprehensive governance documentation, stewardship training materials, and SOPs to ensure domains scale with consistent practices. * Continuous Improvement: Research emerging data management frameworks and AI governance best practices to proactively enhance enterprise data policies. * Platform Health: Take ownership of governance dashboards, proactive compliance monitoring, and data quality tracking to maintain overall data foundation reliability. * Stakeholder Collaboration: Work closely with cross-functional partners (e.g., Engineering, Analytics, Legal) to translate business definitions into technical metadata specifications. What you’ll need to thrive (Requirements) * Years of Experience: 2+ years of professional experience in data governance, data management, product management, or analytics. * Technical Mastery: Proven experience with modern data platforms (Snowflake, dbt) and data catalogs (DataHub, Alation, Atlan), specifically focused on enterprise metadata and stewardship deployments. * Implementation: Demonstrated ability to implement data governance frameworks, business glossaries, and data domain models for core enterprise applications. * Problem Solving: Solid understanding of industry standards and best practices within data management, metrics standardization, and metadata curation. * Tools: Experience with SQL for governance reporting, analytics, and data quality analysis. * Communication: Excellent analytical and verbal skills to communicate complex governance policies and lead cross-functional workshops across technical and non-technical audiences. What will help you stand out (Nonessential/Nice to Haves) * Certifications: Certified Data Management Professional (CDMP) or active coursework toward certification. * Domain Knowledge: Familiarity with compliance frameworks (e.g., SOC 2, GDPR, CCPA) or data management frameworks like DAMA-DMBOK. * Breadth: Experience with adjacent tools and frameworks such as data observability platforms (Monte Carlo, Great Expectations) or AI governance models. * Industry Context: Prior experience in B2B SaaS, restaurant technology, or a fast-paced product company. AI at Toast At Toast, one of our company values is that we’re hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at [https://careers.toasttab.com/toast-benefits](https://careers.toasttab.com/toast-benefits). The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our [Geographic Pay Zone Philosophy](https://careers.toasttab.com/us-pay-zones). Zone A $105,000—$168,000 USD Zone B $91,000—$146,000 USD Zone C $82,000—$131,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. We ask that you complete interviews and assessments on your own, without real-time AI tools, recording, or transcription bots, unless we tell you otherwise in advance. To learn more: [https://careers.toasttab.com/ai-in-hiring](https://careers.toasttab.com/ai-in-hiring) Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: [https://careers.toasttab.com/locations-toast](https://careers.toasttab.com/locations-toast) People Are the Secret Ingredient in Our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry brings together people with a wide range of backgrounds, experiences, and perspectives, and we value that same breadth at Toast. We strive to build a culture grounded in authenticity, respect, and humility, where every Toaster has a real opportunity to grow, contribute, and do their best work—raising the bar in delivering exceptional experiences for our customers and each other. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact [candidateaccommodations@toasttab.com](mailto:candidateaccommodations@toasttab.com). —— For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. 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