Technical Product Manager - Data & MLOps

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. Early Warning follows a hybrid work model to allow for a more collaborative working environment. Candidates 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. Overall Purpose The 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. The 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. Essential Functions Define and deliver roadmap and technical requirements for data and analytics capabilities, processes, and tools to enable prioritized use cases across the enterprise. Scope and prioritize activities based on business and user impact which defines product enhancements for both short‑term and long‑term. Gain 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. Gather 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. Set 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. Enforce data quality standards and processes and ensure that data governance policies, data lineage and metadata management are integral components of data product development. Support the implementation, measurement, and activation of data‑driven use cases. Support the integration of strong data governance, risk, and security controls. Support the company’s commitment to risk management and protect the integrity and confidentiality of systems and data. Support the integration of MLOps workflows and data pipelines that enable model deployment and monitoring. Participate in defining RAG and LLM‑based product capabilities. Ensure basic compliance with model governance, including lineage, metadata, model monitoring, and bias documentation. Collaborate with AI and MLOps Engineers to support model deployment pipelines on AWS and on‑prem technologies. Minimum Qualifications Education and/or experience typically obtained through completion of a bachelor’s degreein STEM or related field. 5+ 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. 3+ 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. Strong business intuition and the technical ability to understand, design, and explain complex product and data strategies to both business and technical audiences. Proficiency with software development methodologies such as Agile and experience working with Scrum teams and working with Agile tools such as Jira. Strong project and stakeholder management with the ability to work effectively with cross functional teams with diverse skill sets across all levels of the organization. Excellent communications skills, both oral and written. Hands‑on experience writing, reviewing, and tuning SQL, Spark, and Python. Comfort with product analytics and data visualization tools (e.g., Tableau). Background and drug screen. Preferred Qualifications Master’s degree in STEM or related field. Deep understanding of foundational data and analytics concepts. Proven track record of managing all aspects of a successful product throughout its lifecycle, with experience in launching brand new products. Strong understanding of data management requirements in a regulated industry. Experience in financial institutions, particularly payments, identity, and fraud analytics. Experience working with terabyte size datasets. Experience with change management and moving from on‑prem to cloud. Hands‑on experience with Python or R, as a data scientist. Understanding of data science tools and concepts and experience directly enabling data science teams or delivering data science use cases. Experience with: AWS, Salesforce, SQL Server, Hive, Spark, SQL, and data architecture tools such as HDFS, Aerospike, ElasticSearch, Kafka, EKS. Deep understanding of best practices and unique data and analytics requirements. Physical Requirements Early 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. Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation. Candidates responding to this posting must independently possess the eligibility to work in the United States at the date of hire. The base pay scale for this position in: Phoenix, AZ/ Chicago, IL in USD per year is: $101,000 - $152,000. San Francisco, CA in USD per year is: $122,000 - $203,000. Additionally, candidates are eligible for a discretionary incentive plan and benefits. This 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. Some of the Ways We Prioritize Your Health and Happiness Healthcare 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. 401(k) Retirement Plan –Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility. Paid 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. 12 weeks of Paid Parental Leave. Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work. And SO much more! Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Early 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. Early Warning Services® delivers innovative payment and risk solutions to financial institutions nationwide. For over 25 years, Early Warning has been a leader in technology that helps protect and advance the financial system. We serve a diverse network of approximately 2,500 financial institutions, government entities and payment companies. Our product solutions enable real‑time funds availability for a variety of payment types through our payments network. View supplemental EEO is the law poster E-Verify Early Warning Services LLC is a proud participant in E‑Verify, a federal program to help ensure a legal and authorized workforce. As part of our hiring process, we electronically verify the employment eligibility of all new hires through E‑Verify. For more information on your rights and responsibilities under E‑Verify please visit Home | E‑Verify. 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