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About the Role

The Technical Product Manager is a key role on our Data & AI team, responsible for developing the next generation of analytical technology. This role will focus on data capabilities to improve both R&D and productionalization of predictive models, collaborating with Analytics, MLOps, Engineering, and business stakeholders to translate needs into technical requirements.

Responsibilities

• Define and deliver roadmap and technical requirements for data and analytics capabilities, processes, and tools.
• Scope and prioritize activities based on business and user impact.
• Gather requirements for the Data Technology team on data processing and storage.
• Set and achieve success metrics to meaningfully improve business results.
• Enforce data quality standards and processes, ensuring data governance policies, lineage, and metadata management are integral to 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.

Requirements

• 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.
• Bachelor’s degree in STEM or related field.
• 5+ years' 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, business stakeholders, and end-users.
• Strong business intuition and the technical ability to understand, design, and explain complex product and data strategies.
• Proficiency with software development methodologies such as Agile and experience working with Scrum teams and tools like Jira.
• Strong project and stakeholder management skills.
• 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.

Skills

• SQL
• Spark
• Python
• Tableau
• Agile
• Jira
• AWS
• Salesforce
• SQL Server
• Hive
• HDFS
• Aerospike
• ElasticSearch
• Kafka
• EKS
• R

Location

• Scottsdale
• San Francisco
• Chicago
• New York
• Phoenix, AZ

Work Type

• Hybrid
• Full-time

Experience Level

• 5+ years' experience
• 3+ years' experience

Education Level

• Bachelor’s degree in STEM or related field
• Master’s degree in STEM or related field

Salary/Compensations

• $106,000 - $142,000 (Phoenix, AZ)
• $128,000 - $170,000 (San Francisco, CA)

Benefits

• Discretionary incentive plan
• Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans
• Company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA)
• 401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral
• Paid Time Off – Flexible Time Off for Exempt employees, PTO for Non-Exempt employees
• 11 paid company holidays
• Paid volunteer day
• 12 weeks of Paid Parental Leave
• Maven Family Planning – support for egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.

About the Company

• 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.

Equal Opportunity

• 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® aims to make our recruitment process accessible to any and all users. If you have a disability or a special need that requires accommodation to navigate our website or complete the application process, please email recruiting@earlywarningservices.com for an assistance request.
• View supplemental EEO is the law poster
• Early Warning has developed and maintains a written AAP and upholds pay transparency nondiscrimination.
• 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.