Qureos Mentor

Early Warning Services

<div>At Early Warning, we&rsquo;ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle&reg;, 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.
Positions located in Scottsdale, San Francisco, Chicago, or New York follow 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
This role is accountable for defining, building, and operating the enterprise data platform, including Lakehouse architecture, AI/ML platform capabilities, and analytics foundations. The Vice President establishes the long-term technical vision and leads execution of a scalable, secure, and governed platform that enables high-value data products and enterprise insights.
This position operates at an enterprise level, setting architectural direction, driving platform modernization, and ensuring alignment with regulatory, security, and business requirements. The role balances strategic planning with delivery accountability, enabling petabyte-scale data processing, real-time and batch data integration, and trusted data consumption across the organization.
Essential Functions
Data Platform Engineering<ul><li>
Define and own the target-state architecture for the enterprise data platform, including Lakehouse, streaming, batch processing, semantic layers, and AI/ML platform capabilities</li><li>
Establish and maintain a multi-year roadmap that balances scalability, resilience, regulatory compliance, and business value delivery</li><li>
Drive architectural standards, patterns, and reference implementations to enable consistent and reusable platform capabilities</li><li>
Lead the design, build, and operation of high-throughput, highly available data platforms supporting petabyte-scale workloads</li><li>
Ensure platform capabilities support real-time and batch ingestion, transformation, storage, and consumption across enterprise use cases</li><li>
Enable scalable support for analytics, reporting, data products, and machine learning lifecycle requirements</li></ul>
Technology Modernization<ul><li>
Lead transformation from fragmented and siloed data environments to a unified, governed platform</li><li>
Introduce modern architectural patterns, engineering practices, and operating models that improve platform scalability, reliability, and usability</li><li>
Drive adoption of platform services and reduce duplication across teams</li><li>
Establish enterprise standards for data quality, lineage, metadata, cataloging, observability, and lifecycle management</li><li>
Ensure platform design and operations meet security, privacy, and regulatory requirements, particularly for sensitive and PII data</li><li>
Partner with Security, Risk, and Compliance functions to align with enterprise governance frameworks (e.g., SOC 2 and related controls)</li></ul>
Organizational Leadership &amp; Influence<ul><li>
Drive enterprise adoption of platform services and data product capabilities</li><li>
Build and lead high-performing platform engineering organizations, including senior leaders and architects</li><li>
Establish a culture of ownership, engineering excellence, and operational discipline</li><li>
Develop leadership bench strength and ensure organizational scalability</li><li>
Partner with Data Science, Product, Engineering, Security, Risk, and business stakeholders to align platform capabilities with enterprise priorities</li><li>
Enable use cases across analytics, AI/ML, product intelligence, and operational reporting</li></ul>
Minimum Qualifications<ul><li>
Bachelor&rsquo;s degree in computer science, Engineering, or related field; advanced degree preferred</li><li>
15+ years of experience in data engineering, platform engineering, or distributed systems, including significant leadership experience</li><li>
Demonstrated success leading enterprise-scale data platform strategy, architecture, and transformation initiatives</li><li>
Deep expertise in modern data architectures (Lakehouse, data lake, data warehouse, or hybrid models)</li><li>
Strong technical background in distributed systems, data processing frameworks, storage, and cloud-native platform design</li><li>
Experience building and operating platforms supporting both streaming and batch data processing</li><li>
Experience supporting AI/ML platforms and data systems for advanced analytics use cases</li><li>
Strong understanding of data governance, security, privacy, and compliance in regulated environments</li><li>
Proven ability to lead large-scale engineering organizations and develop senior technical leaders</li><li>
Strong communication and influencing skills at executive and cross-functional levels</li></ul>
Preferred Qualifications<ul><li>
Experience in financial services, fintech, payments, identity, fraud, or similarly regulated industries</li><li>
Experience designing platforms that manage sensitive or PII data at scale</li><li>
Familiarity with modern data architecture patterns including data products, domain-oriented ownership, and metadata-driven operations</li><li>
Experience implementing self-service platform models and reusable data services</li><li>
Track record of balancing long-term architectural strategy with pragmatic delivery execution</li><li>
Hands-on familiarity with modern cloud data ecosystems, orchestration, observability, and platform automation</li></ul> 
The base pay scale for this position in: 
Phoenix, AZ in USD per year is: $225,000 - $300,000. 
San Francisco, CA in USD per year is: $248,000 - $330,000. 
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&rsquo;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<ul><li> 
Healthcare Coverage &ndash; 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 &amp; dependent care expenses.</li><li>
401(k) Retirement Plan &ndash; Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.</li><li>
Paid Time Off &ndash; 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.</li><li>
12 weeks of Paid Parental Leave
</li><li>Maven Family Planning &ndash; provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.</li></ul> 
And 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!
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Early Warning Services, LLC (&ldquo;Early Warning&rdquo;) 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.</div>

VP, Enterprise Data Platform

<div>At Early Warning, we&rsquo;ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle&reg;, 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.
Positions located in Scottsdale, San Francisco, Chicago, or New York follow 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 &amp; 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&amp;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<ul><li>
Define and deliver roadmap and technical requirements for data and analytics capabilities, processes, and tools to enable prioritized use cases across the enterprise.</li><li>
Scope and prioritize activities based on business and user impact which defines product enhancements for both short-term and long-term.</li><li>
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.</li><li>
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.</li><li>
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.</li><li>
Enforce data quality standards and processes and ensure that data governance policies, data lineage and metadata management are integral components of data product development.</li><li>
Support the implementation, measurement, and activation of data-driven use cases.</li><li>
Support the integration of strong data governance, risk, and security controls.</li><li>
Support the company&rsquo;s commitment to risk management and protect the integrity and confidentiality of systems and data.</li><li>
Support the integration of MLOps workflows and data pipelines that enable model deployment and monitoring.</li><li>
Participate in defining RAG and LLM-based product capabilities.</li><li>
Ensure basic compliance with model governance, including lineage, metadata, model monitoring, and bias documentation.</li><li>
Collaborate with AI and MLOps Engineers to support model deployment pipelines on AWS and on-prem technologies.</li></ul> 
Minimum Qualifications<ul><li>
Education and/or experience typically obtained through completion of a bachelor&rsquo;s degree in STEM or related field.</li><li>
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.</li><li>
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.</li><li>
Strong business intuition and the technical ability to understand, design, and explain complex product and data strategies to both business and technical audiences.</li><li>
Proficiency with software development methodologies such as Agile and experience working with Scrum teams and working with Agile tools such as Jira.</li><li>
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.</li><li>
Excellent communications skills, both oral and written.</li><li>
Hands-on experience writing, reviewing, and tuning SQL, Spark, and Python.</li><li>
Comfort with product analytics and data visualization tools (e.g., Tableau).</li><li>
Background and drug screen.</li></ul> 
Preferred Qualifications<ul><li>
Master&rsquo;s degree in STEM or related field.</li><li>
Deep understanding of foundational data and analytics concepts.</li><li>
Proven track record of managing all aspects of a successful product throughout its lifecycle, with experience in launching brand new products.</li><li>
Strong understanding of data management requirements in a regulated industry.</li><li>
Experience in financial institutions, particularly payments, identity, and fraud analytics.</li><li>
Experience working with terabyte size datasets.</li><li>
Experience with change management and moving from on-prem to cloud.</li><li>
Hands-on experience with Python or R, as a data scientist.</li><li>
Understanding of data science tools and concepts and experience directly enabling data science teams or delivering data science use cases.</li><li>
Experience with: AWS, Salesforce, SQL Server, Hive, Spark, SQL, and data architecture tools such as HDFS, Aerospike, ElasticSearch, Kafka, EKS.</li><li>
Deep understanding of best practices and unique data and analytics requirements.</li></ul>
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 in USD per year is: $106,000 - $130,000. 
San Francisco, CA in USD per year is: $128,000 - $156,000. 
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&rsquo;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<ul><li> 
Healthcare Coverage &ndash; 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 &amp; dependent care expenses.</li><li>
401(k) Retirement Plan &ndash; Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.</li><li>
Paid Time Off &ndash; 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.</li><li>
12 weeks of Paid Parental Leave
</li><li>Maven Family Planning &ndash; provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.</li></ul> 
And 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!
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Early Warning Services, LLC (&ldquo;Early Warning&rdquo;) 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.</div>

Technical Product Manager - Data

Join Early Warning Services and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Early Warning Services

About Company

VP, Enterprise Data Platform

Technical Product Manager - Data