{"id":162190,"url":"https://alion.io/job/earlywarning-technical-product-manager-data","title":"Technical Product Manager - Data","company":{"id":46312,"name":"Early Warning Services","domain":"earlywarning.com","url":"https://alion.io/company/earlywarning","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":86,"open_postings":14,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","Scottsdale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":106000,"max":142000,"currency":"USD","period":"year","gross":null,"usd_annual":142000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Jira","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Aerospike","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Apache Kafka","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-07-10T00:00:00Z","employer_posted_date":"2026-07-10","last_verified_at":"2026-10-15T06:20:33Z","board_verified":true,"closed_at":null,"days_open":98,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":98},"description":"At Early Warning, we’ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.\nPositions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.\nCandidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.\nOverall Purpose\nThe Technical Product Manager is a key role on our Data & AI team charged with developing the next generation of analytical technology for Early Warning Services. This role will focus on our data capabilities to improve both R&D and productionalization of predictive models.\nThe Technical Product Manager collaborates closely with Analytics, MLOps, Engineering team members and other business stakeholders to translate enterprise-wide stakeholder needs into technical model, data, reporting and analytics requirements, working across technology teams to facilitate the development of internal-facing data platforms, products or capabilities.\nEssential Functions\nDefine and deliver roadmap and technical requirements for data and analytics capabilities, processes, and tools to enable prioritized use cases across the enterprise.\n\nScope and prioritize activities based on business and user impact which defines product enhancements for both short-term and long-term.\n\nGain a deep understanding of end-user needs and experience (internal data consumers), identify and fill product gaps and generate new ideas that grow adoption and improve user experience.\n\nGather requirements for the Data Technology team on data processing and storage to facilitate a variety of model and analytics use cases such as effective analysis and reporting, data science exploration and model development, and data quality and anomaly detection.\n\nSet and achieve success metrics to meaningfully improve business results, focusing on what success looks like for our internal data consumers and how accessible data and insights could help them deliver enterprise value.\n\nEnforce data quality standards and processes and ensure that data governance policies, data lineage and metadata management are integral components of data product development.\n\nSupport the implementation, measurement, and activation of data-driven use cases.\n\nSupport the integration of strong data governance, risk, and security controls.\n\nSupport the company’s commitment to risk management and protect the integrity and confidentiality of systems and data.\n\nSupport the integration of MLOps workflows and data pipelines that enable model deployment and monitoring.\n\nParticipate in defining RAG and LLM-based product capabilities.\n\nEnsure basic compliance with model governance, including lineage, metadata, model monitoring, and bias documentation.\n\nCollaborate with AI and MLOps Engineers to support model deployment pipelines on AWS and on-prem technologies.\n\nMinimum Qualifications\nEducation and/or experience typically obtained through completion of a bachelor’s degree in STEM or related field.\n\n5+ years' experience or related experience in product management, data management, or consulting with a proven record of high performance, preferably with experience building data and analytics products.\n\n3+ years' experience with direct hands-on responsibility working with data or data teams (data engineers, data scientists, software developers, data analysts, etc.), business stakeholders and end-users.\n\nStrong business intuition and the technical ability to understand, design, and explain complex product and data strategies to both business and technical audiences.\n\nProficiency with software development methodologies such as Agile and experience working with Scrum teams and working with Agile tools such as Jira.\n\nStrong project and stakeholder management with the ability to work effectively with cross functional teams with diverse skill sets across all levels of the organization.\n\nExcellent communications skills, both oral and written.\n\nHands-on experience writing, reviewing, and tuning SQL, Spark, and Python.\n\nComfort with product analytics and data visualization tools (e.g., Tableau).\n\nBackground and drug screen.\n\nPreferred Qualifications\nMaster’s degree in STEM or related field.\n\nDeep understanding of foundational data and analytics concepts.\n\nProven track record of managing all aspects of a successful product throughout its lifecycle, with experience in launching brand new products.\n\nStrong understanding of data management requirements in a regulated industry.\n\nExperience in financial institutions, particularly payments, identity, and fraud analytics.\n\nExperience working with terabyte size datasets.\n\nExperience with change management and moving from on-prem to cloud.\n\nHands-on experience with Python or R, as a data scientist.\n\nUnderstanding of data science tools and concepts and experience directly enabling data science teams or delivering data science use cases.\n\nExperience with: AWS, Salesforce, SQL Server, Hive, Spark, SQL, and data architecture tools such as HDFS, Aerospike, ElasticSearch, Kafka, EKS.\n\nDeep understanding of best practices and unique data and analytics requirements.\n\nPhysical Requirements\nEarly Warning works together in a highly collaborative office environment. As such, working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.\nEmployee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.\nCandidates responding to this posting must independently possess the eligibility to work in the United States at the date of hire.\nThe base pay scale for this position in:\nPhoenix, AZ in USD per year is: $106,000 - $142,000.\nSan Francisco, CA in USD per year is: $128,000 - $170,000.\nAdditionally, candidates are eligible for a discretionary incentive plan and benefits.\nThis pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate’s education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.\nSome of the Ways We Prioritize Your Health and Happiness\nHealthcare Coverage - Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.\n\n401(k) Retirement Plan - Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.\n\nPaid Time Off - Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.\n\n12 weeks of Paid Parental Leave\n\nMaven Family Planning - provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.\n\nAnd SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\nEarly Warning Services, LLC (“Early Warning”) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.","description_format":"text","description_chars":9458,"description_truncated":false,"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":["Equity","Flexible time off","Hybrid work","Parental leave","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Fraud Detection","Payment Processing & Gateways","RegTech, AML & Compliance"],"lifecycle":[{"event":"open","at":"2026-07-10T00:00:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 27 · green card filings: 21","filings_12m":27,"filings_prev_12m":57,"green_card_filings_12m":21,"median_offered_wage_usd":148125,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+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":4}],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.416,"p_room":0.28,"age_days":98,"expected_fill_days":29,"reasons":["conf:23","stale_co","urgency","velocity","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":142000,"is_top_pay":false},"html_url":"https://alion.io/job/earlywarning-technical-product-manager-data","json_url":"https://alion.io/job/earlywarning-technical-product-manager-data.json","meta":{"generated_at":"2026-10-16T10:20:05Z","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":8691,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":46312},"rest":"https://alion.io/mcp/rest/get_company?id=46312"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fearlywarning-technical-product-manager-data"},{"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%2Fearlywarning-technical-product-manager-data"},{"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%2Fearlywarning-technical-product-manager-data"},{"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/earlywarning-technical-product-manager-data\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fearlywarning-technical-product-manager-data"}]}