{"id":4206897,"url":"https://alion.io/job/wex-data-risk-strategy-enablement","title":"Data & Risk Strategy Enablement","company":{"id":2019,"name":"WEX","domain":"wexinc.com","url":"https://alion.io/company/wex","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":18,"ghost_share":0,"stale_share":0.167,"repost_share":0.056,"time_to_fill_p50_days":18,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":114600,"max":134500,"currency":"USD","period":"year","gross":null,"usd_annual":134500},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ChatGPT","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"Machine Learning","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-12T23:54:08Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T23:54:08Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Team/Role\nOur Team: The Global Risk Solutions and Strategy group is a fast-growing team optimizing risk solutions, models, and strategies, and we are a key function in enabling WEX’s strategic objectives. The Team combines data science, risk expertise, technology, and a wide range of data sources to develop solutions that inform decision-making across the client lifecycle. Our team helps the firm identify, measure, and manage credit and fraud risk while enabling scalable, data-driven risk strategies.\nAs a member of the team, you will work at the intersection of data, risk strategy, data science, and technology. You will partner closely with data scientists, risk strategists, data engineers, technology teams, and business stakeholders to ensure our teams have trusted, scalable, well-understood data and features to support analytics, modeling, and risk decisioning.\nOur Company: WEX is a fast-growing multinational payments company based in beautiful Portland, Maine. WEX headquarters is situated in the heart of Portland amongst some of the best restaurants in the country and overlooking the ocean and lighthouses. When you are here, you know you are in Maine. We have generous paid time off and paid volunteering time, not to mention great benefits and a culture that values diversity and inclusion.\nWho You Are\nYou are a data and risk subject matter expert who understands how data moves through complex source systems and how it ultimately needs to support analytics, data science, and risk decisioning. You are naturally curious about how data is generated, transformed, and consumed, and you are skilled at connecting technical teams with the business and risk context behind the data.\nYou thrive in environments where data is distributed across multiple systems and teams, and where creating clarity, consistency, and trust is essential. You are comfortable challenging assumptions, establishing common definitions, identifying data quality issues, and working with data engineering teams to develop scalable solutions.\nYou are also passionate about enablement and adoption. You see the feature store not simply as a technology platform, but as a critical capability for scaling data science and risk strategy. You will serve as the primary liaison between our team and partner organizations, helping them understand, adopt, and contribute to the feature store while ensuring that its capabilities evolve to meet the needs of data science and risk.\nHow you'll make an impact\nData & Risk Enablement\nServe as a trusted data and risk subject matter expert for data scientists, risk strategists, engineers, and business stakeholders.\nDevelop a deep understanding of critical source systems, data structures, business processes, and data flows that support credit, fraud, and other risk strategies.\nTranslate business and risk requirements into clear data requirements, helping teams identify the right data sources, transformations, features, and analytical approaches.\nEstablish and promote common definitions for key risk, customer, account, transaction, and performance measures to improve consistency across analytics and decisioning.\nIdentify opportunities to improve the availability, usability, quality, and scalability of data used by risk and data science teams.\nAct as a bridge between data consumers and data engineering teams, helping prioritize and communicate data requirements and technical needs.\nData Pipeline Optimization\nPartner closely with data engineering teams to design, optimize, and improve pipelines supporting risk analytics, modeling, and strategy.\nIdentify bottlenecks, redundancies, data quality issues, and opportunities to improve the efficiency and reliability of existing data pipelines.\nHelp establish scalable data patterns that reduce duplicated data preparation and enable data scientists and risk strategists to focus on higher-value analytical work.\nParticipate in the design and review of data architecture and pipeline changes to ensure they meet downstream analytical and risk requirements.\nProactively identify upstream data changes or source-system dependencies that could impact models, strategies, reporting, or monitoring.\nDevelop strong relationships with source-system owners and downstream data consumers to improve transparency and accountability across the data ecosystem.\nFeature Store Optimization\nTranslate and support the relationship between the Risk Solutions and Strategy organization and the broader feature store ecosystem.\nServe as the primary liaison to external teams supporting or consuming the feature store, representing the needs of data science and risk strategy.\nSupport the feature store across data science, risk, and partner organizations by identifying barriers and creating practical solutions.\nEstablish and promote best practices for feature development, documentation, reuse, governance, and consumption.\nPartner with teams to retain and monitor feature definitions, metadata, lineage, quality, ownership, and lifecycle management.\nWork with data scientists and engineers to identify opportunities to migrate duplicated or manually maintained features into reusable, governed feature-store assets.\nGather feedback from internal users and translate it into enhancements, capabilities, and priorities for the feature store.\nPromote reuse of existing features and reduce unnecessary duplication across models and analytical solutions.\nHelp ensure that features are discoverable, well documented, trusted, and fit for use in production risk applications.\nData Quality & Governance\nEstablish a strong quality mindset around data used for risk decisioning and model development.\nInvestigate and coordinate resolution of data issues across source systems, pipelines, and downstream consumers.\nPartner with data governance and technology teams to improve data lineage, ownership, documentation, and controls.\nIdentify gaps in data definitions and work across teams to establish consistent business and technical definitions.\nProactively communicate data risks, dependencies, and limitations that could affect analytical or risk outcomes.\nHow You’ll Engage\nTrusted Partner: Build credibility through deep knowledge of data, risk, source systems, and the needs of analytical users.\nData Translator: Connect business and risk objectives with technical data requirements and communicate effectively across technical and non-technical audiences.\nEnablement Mindset: Make it easier for data scientists, risk strategists, and partner teams to find, understand, trust, and use data.\nEnterprise Collaboration: Build strong relationships across data engineering, technology, risk, data science, and source-system teams to solve problems that cross organizational boundaries.\nQuality Mindset: Treat data quality, lineage, definitions, and reliability as foundational to trusted risk decisions.\nScalable Thinking: Look beyond individual data requests to identify reusable capabilities, common features, and scalable solutions.\nContinuous Improvement: Challenge inefficient processes and identify opportunities to improve how data is created, managed, and consumed.\nCuriosity & Learning: Develop a deep understanding of evolving data platforms, feature stores, source systems, and analytical technologies and share that knowledge with others.\nExperience You’ll Bring\n6 or more years of professional experience working with data, analytics, data science, risk, data engineering, or related disciplines, preferably within financial services or a complex data environment.\nStrong understanding of data ecosystems, including source systems, data warehouses/lakes, ETL/ELT pipelines, data transformations, and downstream analytical consumption.\nAdvanced SQL skills and experience working with large, complex datasets.\nDemonstrated ability to understand complex source systems and translate business processes into data requirements and analytical datasets.\nExperience partnering with data engineering teams to build, optimize, and troubleshoot data pipelines.\nStrong understanding of data quality principles, data lineage, metadata, data governance, and data ownership.\nExperience working with feature stores, feature engineering platforms, or similar reusable data/analytics infrastructure.\nAbility to understand data science and machine learning requirements, including how features are developed, evaluated, consumed, and operationalized.\nStrong understanding of credit risk, fraud risk, payments, or other financial services risk domains.\nStrong communication and relationship-building skills, with the ability to influence teams without direct authority.\nDemonstrated ability to operate independently, identify ambiguous problems, and drive solutions across organizational boundaries.\nStrong analytical, problem-solving, and critical-thinking skills.\nExperience serving as a data or analytics subject matter expert across multiple teams or organizational functions.\nExperience owning or helping establish a feature store, feature platform, or enterprise analytics data product.\nExperience partnering on shared data platforms or capabilities across data science and engineering organizations.\nExperience developing enterprise data definitions, data standards, or data governance practices.\nExperience working with cloud data platforms and modern data architectures.\nExperience with data cataloging, lineage, data observability, or data quality platforms.\nExperience working in an environment where data science, risk strategy, and data engineering operate as highly interconnected functions.\nExperience with credit risk modeling, portfolio management, underwriting, fraud, collections, or other financial risk applications.\nExperience influencing technical roadmaps and priorities across teams without direct management authority.\nDemonstrated ability to simplify complex data environments and create reusable solutions that accelerate data science and risk strategy.\nAI -- Gemini, ChatGPT or Similar\nThe base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the \"About Us\" section.Pay Range: $114,600.00 - $134,500.00","description_format":"text","description_chars":10919,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Life insurance","Retirement plans","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Fleet Management","Cards & Card Issuing","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-11-12T23:54:08Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 11","filings_12m":11,"filings_prev_12m":14,"green_card_filings_12m":0,"median_offered_wage_usd":157500,"route":null,"cap_exempt":false,"checked_at":"2026-11-12T07:36:15+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":18,"reasons":["conf:2","win:early"],"computed_at":"2026-11-13T01:56:20Z"},"pay":{"stated_usd_annual":134500,"is_top_pay":false},"html_url":"https://alion.io/job/wex-data-risk-strategy-enablement","json_url":"https://alion.io/job/wex-data-risk-strategy-enablement.json","meta":{"generated_at":"2026-11-13T01:56:20Z","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":4095,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":2019},"rest":"https://alion.io/mcp/rest/get_company?id=2019"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwex-data-risk-strategy-enablement"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fwex-data-risk-strategy-enablement"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fwex-data-risk-strategy-enablement"},{"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/wex-data-risk-strategy-enablement\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwex-data-risk-strategy-enablement"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4206897}},{"tool":"search_jobs","arguments":{"company":"wexinc.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4206897},"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. 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