{"id":2467842,"url":"https://alion.io/job/alteryx-manager-finance-analytics-engineering-automation","title":"Manager, Finance Analytics Engineering & Automation","company":{"id":4949,"name":"Alteryx","domain":"alteryx.com","url":"https://alion.io/company/alteryx","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":9,"ghost_share":0,"stale_share":0.889,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Analytics","role_family":"Analytics","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":{"min":139475,"max":151970,"currency":"USD","period":"year","gross":null,"usd_annual":151970},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alteryx","optional":false},{"name":"dbt","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-13T19:06:45Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-18T03:57:58Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Meet the Moment with Alteryx\nWe're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation.\nYou'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible.\nIf you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here.\nAlteryx is searching for a Manager, Finance Analytics Engineering & Automation. This position is remote-friendly.\nPosition Overview:\nAlteryx is looking for a hands-on manager who sits at the intersection of Finance, analytics engineering, and automation. This role will turn Finance requirements into trusted analytical data products, reusable consumption layers, automated workflows, controls, and integrations. You will work closely with FP&A, Finance Data & Analytics, Data Engineering, and business partners to make governed enterprise data easier for Finance to use while improving reliability, scalability, and decision support.\nThis is not a central data engineering role and it is not a traditional Finance systems administration role. Enterprise Data Engineering will continue to own deeper platform and production-pipeline engineering. This role sits closer to Finance: understanding the business question, tracing source data and lineage, shaping Finance-ready analytical layers, and building repeatable solutions that are controlled, supportable, and useful for decision-making.\nPrimary Responsibilities:\nOwn Finance analytics engineering and automation across Snowflake, SQL, workflow automation, controls, integrations, and downstream Finance consumption.\nTranslate Finance requirements and approved business definitions into scalable technical solutions, working with Finance Data & Analytics on product priorities and with Data Engineering on enterprise pipelines and platform standards.\nBuild and maintain Finance-ready consumption views, analytical models, reconciliations, and reusable datasets that make governed enterprise data easier for FP&A and Finance users to consume without unnecessary duplication.\nPerform hands-on SQL analysis, lineage tracing, impact assessment, and root-cause investigation across Finance data flows, especially when definitions, sources, joins, or upstream systems change.\nEstablish and automate technical controls for critical Finance processes, including reconciliations, data-quality checks, regression tests, monitoring, release validation, and recovery procedures.\nLead Finance automation and workflow engineering, setting standards for maintainability, production support, documentation, ownership, and reusable patterns across tools such as Alteryx, Python, APIs, or comparable platforms.\nServe as a primary Finance technical partner to Data Engineering, helping separate Finance-owned analytical logic from deeper platform engineering while ensuring clean handoffs and clear ownership.\nSupport the technical architecture and productionization of AI-assisted Finance workflows and analytical agents, with emphasis on governed sources, deterministic execution where needed, traceability, testing, and safe failure.\nManage and develop Finance automation engineering capacity, including coaching team members, strengthening backup coverage, and building durable technical capability rather than key-person dependency.\nPartner across FP&A, Accounting, RevOps, Product, IT, and other teams to deliver cross-system solutions that are practical for Finance users and sustainable in production.\nQualifications:\n6+ years of experience in FP&A, finance analytics, analytics engineering, financial data, automation, or a related technical Finance role.\nStrong Finance or FP&A domain knowledge and the ability to understand how business definitions, planning processes, reporting, and controls translate into technical requirements.\nStrong hands-on SQL skills and experience working in Snowflake or a comparable cloud data platform, including data modeling, lineage analysis, validation, troubleshooting, and building reporting- or consumption-ready datasets.\nDemonstrated ability to move from an ambiguous Finance question to a trustworthy data answer by interrogating source data, challenging assumptions, and validating results.\nExperience building or supporting analytical consumption layers, semantic or reporting-ready datasets, reusable views, or similar Finance-facing data products.\nExperience building automated analytical workflows using tools such as Alteryx, Python, dbt, APIs, or comparable platforms. Deep Alteryx expertise is not required.\nWorking knowledge of production controls, testing, monitoring, documentation, change management, and root-cause analysis.\nPrior people management or strong technical-lead experience, with the ability to coach hands-on practitioners while also setting technical direction.\nValued Skills:\nExperience in a SaaS or subscription business, including exposure to ARR, bookings, renewals, revenue, or other recurring Finance metrics.\nExperience partnering with centralized Data Engineering teams while owning Finance-specific analytics, consumption, or automation layers.\nFamiliarity with ERP, CRM, planning, HRIS, and reporting platforms such as NetSuite, Salesforce, Anaplan, Workday, or Tableau.\nExperience with data governance, semantic layers, metadata, lineage, or certification practices.\nExperience evaluating or productionizing AI-assisted analytics, LLM, agent, or MCP-style workflows where accuracy, traceability, and controls matter.\nWhat Success Looks Like:\nFinance can consume governed enterprise data through clear, reusable analytical layers without creating unnecessary duplicate assets.\nComplex data questions and production issues can be diagnosed and resolved without depending on a single senior leader to perform the technical investigation.\nFinance automation and analytical workflows have clear ownership, controls, documentation, monitoring, and backup coverage.\nFinance and Data Engineering operate with clear boundaries and strong partnership: Finance owns business-facing analytical logic and consumption, while Data Engineering owns deeper enterprise pipeline and platform engineering.\nCompensation:\nAlteryx is committed to fair, equitable, and transparent compensation. Final compensation will be determined by various factors such as your relevant work experience, education, certifications, skills, and geographic location.\nThe salary range for this role in the United States is $139,475 - $151,970.\nIn addition, you may be eligible for additional compensation, such as a bonus. Employees may also be eligible for a wide range of other benefits, including medical, retirement, financial, wellness, time off, employee discounts, and others.\nInterested? Learn more and apply today at alteryx.com/careers!\nFind yourself checking a lot of these boxes but doubting whether you should apply? At Alteryx, we support a growth mindset for our associates through all stages of their careers. If you meet some of the requirements and you share our values, we encourage you to apply. As part of our ongoing commitment to a diverse, equitable, and inclusive workplace, we’re invested in building teams with a wide variety of backgrounds, identities, and experiences.\nBenefits & Perks:\nAlteryx has amazing benefits for all Associates which can be viewed here.\nFor roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Alteryx will consider for employment qualified applicants with arrest and conviction records.\nThis position involves access to software/technology that is subject to U.S. export controls. 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