{"id":3416426,"url":"https://alion.io/job/brown-brown-sales-data-product-owner","title":"Sales Data Product Owner","company":{"id":1779108,"name":"Brown & Brown","domain":"bbrown.com","url":"https://alion.io/company/brown-and-brown","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":24,"ghost_share":0,"stale_share":0.583,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":103000,"max_usd":181000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":814},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Kanban","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-28T19:34:58Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-06T07:06:52Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.\nBrown & Brown is seeking a Sales Data Product Owner to join our growing team in Daytona Beach, FL!\nPurpose:\nThe Sales Data Product Owner is responsible for defining, prioritizing, and enabling trusted enterprise data and insight products within the gold layer of the medallion architecture, with a strong focus on the Sales domain. This role translates sales leadership, producer, CRM, pipeline, revenue, cross-sell, account-rounding, and forecasting needs into a clear product vision, roadmap, prioritized backlog, acceptance criteria, and adoption plan that support executive reporting, operational sales insights, producer performance management, and self-service analytics.\nThe role partners closely with sales leadership, Sales Operations, producers, account teams, platform engineering teams, BI development teams, data governance, and downstream consumers to ensure Sales-domain data products are valuable, usable, accurate, well-documented, scalable, and aligned to enterprise data standards. The role requires product ownership discipline, domain fluency, stakeholder management, prioritization skills, and the ability to connect sales activity, opportunity progression, producer hierarchy, book-of-business segmentation, CRM adoption, and revenue outcomes to measurable business value.\nPrimary Roles Required for the Team:\nSales Data Product Owner: Owns the strategy, roadmap, backlog, stakeholder alignment, adoption, and value realization for Sales-domain data products, including CRM, pipeline, opportunity, producer performance, revenue, sales goals, cross-sell, account-rounding, and forecasting capabilities.\nEssential Duties and Responsibilities:\nDefine and maintain the Sales data product vision, strategy, roadmap, outcomes, release priorities, and value measures in partnership with sales leadership, Sales Operations, data engineering, BI, governance, and business stakeholders.\nOwn the prioritized backlog for Sales-domain datasets and insight products that integrate CRM activity, opportunities, producer hierarchy, book-of-business attributes, sales goals, revenue results, and reference data across platforms such as Salesforce and Microsoft Dynamics.\nTranslate business problems, stakeholder needs, and reporting requirements into product features, user stories, acceptance criteria, standard metric definitions, release plans, and enablement materials that support executive reporting, operational insights, and stakeholder decision-making.\nDefine and steward Sales-domain metrics and analytical capabilities for closed-won revenue, open pipeline, first appointments, hit ratio, pipeline per producer, producer scorecards, sales attainment, CRM adoption, and sales leader dashboarding.\nPartner with upstream bronze and silver layer engineering teams to define source requirements, transformation rules, data quality expectations, service-level needs, and delivery dependencies required to support the Sales data product roadmap.\nPrioritize enhancement requests, defects, technical debt, adoption needs, and stakeholder escalations based on business value, risk, feasibility, urgency, and alignment to Sales-domain outcomes.\nLead data validation and product acceptance by coordinating reconciliation, metric review, stakeholder signoff, defect triage, root cause investigation, and readiness decisions before release.\nCoordinate resolution of Sales-domain data quality issues, including inconsistent producer mappings, CRM source alignment, missing opportunity records, stale reference data, manual spreadsheet dependencies, and reporting discrepancies surfaced through sales dashboards or business feedback.\nCreate and maintain product documentation, including business requirements, user stories, metric definitions, data lineage summaries, decision logs, release notes, known limitations, adoption materials, and stakeholder signoff records.\nPartner with BI, analytics, engineering, and business teams to ensure dashboards, reports, analytical views, and consumption experiences are aligned to standard definitions, user needs, product priorities, and Sales-domain decision workflows.\nOwn adoption and continuous improvement for sales enablement products such as Sales Insights dashboards, producer scorecards, Get Sales Done reporting, Pedal to the Metal reporting, Digital Bluebook sales views, and future sales-agent recommendations delivered through Teams, email, CRM, or other enterprise channels.\nLead release readiness, launch communications, stakeholder enablement, adoption tracking, and post-release feedback loops for Sales-domain data and analytical products.\nEnsure Sales-domain data products comply with enterprise standards for data quality, security, traceability, privacy, access control, governance, documentation, and responsible use.\nCommunicate product status, roadmap progress, delivery risks, adoption results, metric changes, data limitations, and value realization to stakeholders and leadership in a clear, actionable manner.\nRequired Education, Experience and Knowledge:\n 3+ years of experience in data product ownership, product management, analytics product management, data analytics, sales operations analytics, CRM analytics, revenue analytics, or related roles; senior roles may require 5+ years.\n Experience managing a product roadmap, prioritized backlog, user stories, acceptance criteria, release planning, stakeholder communications, and adoption activities for data, analytics, or business intelligence products.\n Strong understanding of analytical data platforms, SQL concepts, data modeling, data quality, reporting architecture, and the data product lifecycle; hands-on technical depth is valuable, but this role is accountable for product outcomes rather than day-to-day engineering execution.\n Experience owning or enabling reporting datasets, analytical data structures, business-facing data products, dashboards, scorecards, or self-service analytics capabilities.\nExperience working with Sales-domain concepts such as opportunities, pipeline stages, closed-won revenue, producer performance, sales goals, first appointments, hit ratio, cross-sell, account rounding, CRM activity, book-of-business segmentation, and sales leader reporting.\n Experience with Salesforce, Microsoft Dynamics, CRM data models, sales dashboards, producer scorecards, CRM adoption metrics, or related sales enablement reporting is strongly preferred.\n Understanding of data quality, documentation, testing, reconciliation, and requirements validation practices.\nAbility to work with business stakeholders to clarify needs, make prioritization decisions, validate outcomes, explain tradeoffs, drive adoption, and ensure analytical products deliver measurable business value.\n Strong problem-solving and decision-making skills with the ability to investigate data issues, assess business impact, coordinate remediation, and balance short-term stakeholder needs with long-term product scalability.\nClear communication skills with the ability to explain product direction, metric logic, roadmap priorities, release decisions, data limitations, and analytical findings to both technical and non-technical audiences.\nPreferred Education, Experience and Knowledge:\nBachelor’s degree in data science, computer science, engineering, information systems, analytics, statistics, business, or a related field.\nExperience with Microsoft Fabric, Azure, Databricks, Snowflake, Denodo, SQL-based platforms, or similar data engineering and analytics technologies.\nExperience with data pipelines, data marts, transformation logic, medallion architecture patterns, data quality checks, or reporting-ready data structures.\nFamiliarity with DevOps, DataOps, version control, automated testing, deployment pipelines, and release management for data assets.\nFamiliarity with Agile, Scrum, Kanban, product discovery, delivery management, OKRs, value measurement, stakeholder governance, and product adoption practices.\nExperience in insurance brokerage, sales operations, revenue operations, financial services, retail, or other enterprise-scale matrixed organizations where sales data, producer performance, customer growth, retention, and pipeline management are core business priorities.\nFamiliarity with sales incentive programs, cross-sell and account-rounding analytics, producer business planning, opportunity management, CRM data quality, and adoption support for sales-facing analytical tools.\nSuccess Measures:\nSales data product vision, roadmap, backlog, and release plans are clear, current, prioritized, and aligned to measurable business outcomes.\nSales-domain datasets, dashboards, scorecards, and analytical capabilities are trusted, adopted, documented, and used consistently by business stakeholders.\nData quality issues, delivery risks, dependencies, and stakeholder escalations are prioritized, tracked, communicated, and resolved with clear ownership and impact awareness.\nSales leaders and producers have reliable, role-appropriate insight into closed-won revenue, open pipeline, sales goals, first appointments, hit ratio, cross-sell, account rounding, and producer scorecard performance.\nSales-domain data assets reduce manual spreadsheet dependency, improve CRM-to-reporting consistency, and enable scalable delivery of sales insights through dashboards, Bluebook views, Teams or email notifications, and future CRM-embedded recommendations.\nSales-domain products reduce duplicated manual reporting, improve consistency of analysis across stakeholders, and create reusable capabilities that scale beyond one-off requests.\nStakeholders understand the product roadmap, trust the metric definitions, adopt the delivered capabilities, and can connect the data product to improved Sales-domain decisions and business outcomes.\nTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.\nPhysical Requirements Necessary on a Regular Basis\nAbility to perform 70% sedentary work, exerting up to 10 pounds of force occasionally, and exert negligible force frequently; may be asked to exert up to 20 pounds of force periodically, as needed.\nVision sufficient for use of a computer monitor.\nManual dexterity, arm, and upper body range of motion sufficient for use of a keyboard, mouse and telephone on a constant basis, 7-8 hour per day.\nSpeech and hearing sufficient for phone and in-person communication.\nPhysical efforts include repetitive small motor activity, grasping, verbally communicating detailed and important information to others quickly and accurately, stooping, reaching, standing, lifting light objects less than 10 pounds frequently, and climbing occasionally.\nPay Range\n140,000 - 160,000 AnnualThe pay range provided above is made in good faith and based on our lowest and highest annual salary or hourly rate paid for the role and takes into account years of experience required, geography, and/or budget for the role.\nTeammate Benefits & Total Well-Being\nWe go beyond standard benefits, focusing on the total well-being of our teammates, including:\nHealth Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance \nFinancial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement \nMental Health & Wellness: Free Mental Health & Enhanced Advocacy Services\nBeyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more. \nNot reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.\nRecruiting Vendor Disclosure Statement\nBrown & Brown does not accept unsolicited resumes from external recruiters, recruitment vendors or employm...","description_format":"text","description_chars":12763,"description_truncated":true,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Real Estate","Property & Casualty Insurance","Insurance Brokers & Agencies"],"lifecycle":[{"event":"open","at":"2026-10-28T19:34:58Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":132500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.579,"p_room":0.9,"age_days":8,"expected_fill_days":23,"reasons":["conf:4","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-11-06T05:58:05Z"},"pay":null,"html_url":"https://alion.io/job/brown-brown-sales-data-product-owner","json_url":"https://alion.io/job/brown-brown-sales-data-product-owner.json","meta":{"generated_at":"2026-11-06T14:45:41Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":27414,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1779108},"rest":"https://alion.io/mcp/rest/get_company?id=1779108"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbrown-brown-sales-data-product-owner"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fbrown-brown-sales-data-product-owner"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fbrown-brown-sales-data-product-owner"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/brown-brown-sales-data-product-owner\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbrown-brown-sales-data-product-owner"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3416426}},{"tool":"search_jobs","arguments":{"company":"bbrown.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3416426},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}