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.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.<h3>Overall Purpose</h3>The Sr. Data Product Manager is a key role within the Data Quality & Governance team in the Chief Data Organization (CDO) charged with helping us develop the next level of technology to scale data contribution & quantify data risk within our products. This role collaborates closely with Product, Data Engineering, Risk & Analytics team members and other business stakeholders to translate enterprise-wide stakeholder needs into technical data, reporting and analytics requirements, and works across technology teams to facilitate the development of internal-facing data products or capabilities (including building basic reporting, diving into strategic analyses, or iterating on complex data management issues).<h3>Essential Functions:</h3><ol><li>Articulate vision, roadmap and technical requirements for data management capabilities, processes and tools to enable prioritized use cases across the enterprise.</li><li>Develop and maintain the roadmap for a key pillar of the CDO Organization data roadmap; 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 Quality & Governance team to facilitate a variety of data management use cases such as data stewardship, governance, classification data quality monitoring 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>Act as a product evangelist to build awareness, understanding, adoption, and buy-in.</li><li>Support the company's commitment to risk management and protect the integrity and confidentiality of systems and data. Oversee the integration of strong data governance, risk and security controls.</li></ol><h3>Minimum Qualifications</h3><ol><li>Education and/or experience typically obtained through completion of a bachelor's degree in STEM or related field.</li><li>9+ 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>5+ 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 and tuning SQL.</li><li>Comfort with product analytics and data visualization tools (e.g. Tableau and Mixpanel).</li><li>Background and drug screen.</li></ol><h3>Preferred Qualifications</h3><ol><li>Master's degree in STEM or related field.</li></ol>Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.<h3>Physical Requirements</h3>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.The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.The pay scale for this position in:Phoenix, AZ in USD per year is $145,000 - $165,000.San Francisco, CA and New York, NY in USD per year is: $165,000 - $185,000.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.Additionally, candidates are eligible for a discretionary bonus, and benefits.Some of the Ways We Prioritize Your Health and Happiness:<ul><li>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.</li><li>401(k) Retirement Plan - Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.</li><li>Paid Time Off - Unlimited 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 - 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 ("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.
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Are you passionate about transforming data into valuable products that empower business users and enable data-driven decisions? Do you excel at bridging the gap between data engineering, analytics, and business strategy? If you're ready to lead the creation of data products that drive innovation, our client has the perfect role for you. We're seeking a Data Product Manager (aka The Insight Enabler) to define and deliver data products that provide critical insights and support strategic initiatives across the organization. As a Data Product Manager at our client, you'll work with data scientists, engineers, and stakeholders to identify opportunities, prioritize data features, and ensure successful deployment of data-driven solutions. Your expertise will be key in creating data products that deliver value and actionable insights to business users. Key Responsibilities: <ol> <li>Define and Drive Data Product Strategy:</li> <ul><li>Develop and lead the strategy for data products that align with business objectives and user needs. You'll create product roadmaps, prioritize features, and define metrics to measure success.</li></ul> <li>Collaborate on Data Product Development:</li> <ul><li>Work closely with data engineers and scientists to design and build data products, from data pipelines and storage solutions to analytical tools and dashboards. You'll ensure data products are optimized for usability, scalability, and reliability.</li></ul> <li>Gather and Analyze User Requirements:</li> <ul><li>Conduct interviews and gather feedback from stakeholders to identify user needs and pain points. You'll translate requirements into technical specifications and product features that deliver value.</li></ul> <li>Manage the Product Lifecycle and Roadmap:</li> <ul><li>Oversee the full lifecycle of data products, from ideation to launch and beyond. You'll track performance metrics, manage product iterations, and ensure continuous improvement based on user feedback.</li></ul> <li>Ensure Data Quality and Compliance:</li> <ul><li>Partner with data engineering and compliance teams to enforce data quality standards and ensure data products adhere to regulatory requirements (e.g., GDPR, CCPA). You'll implement best practices for data governance.</li></ul> <li>Develop Go-To-Market Strategies:</li> <ul><li>Plan and execute product launches in collaboration with marketing and sales teams. You'll ensure stakeholders understand the value of data products and support user adoption.</li></ul> <li>Communicate Product Vision and Value:</li> <ul><li>Present data product roadmaps, progress, and performance to executive leadership and cross-functional teams. You'll advocate for data product initiatives and educate stakeholders on the benefits of data-driven solutions.</li></ul> </ol> Requirements Required Skills: <ul> <li> Data Product Management Expertise: Strong experience in managing the lifecycle of data products, including strategy, development, and release management. You're familiar with both technical and business aspects of data product management.</li> <li> Technical Knowledge in Data Systems: Understanding of data engineering concepts, including data pipelines, ETL processes, and cloud platforms (e.g., AWS, GCP, Azure). Familiarity with SQL and data visualization tools like Tableau or Power BI.</li> <li> User-Centric Mindset: Ability to gather and translate user needs into actionable product features. You can prioritize product features based on user impact and business value.</li> <li> Project Management and Collaboration: Proven skills in project management, with experience using tools like JIRA, Asana, or Trello. You're adept at working with cross-functional teams and aligning stakeholders around shared goals.</li> <li> Communication and Storytelling: Strong communication skills, with the ability to present complex data concepts clearly and compellingly to non-technical audiences.</li> </ul> Educational Requirements: <ul> <li> Bachelor's or Master's degree in Data Science, Business, Computer Science, or a related field. Equivalent experience in product management or data engineering may be considered.</li> <li>Certifications in product management (e.g., Certified Scrum Product Owner, Pragmatic Product Management) are advantageous.</li> </ul> Experience Requirements: <ul> <li> 5+ years of experience in product management, with a focus on data products or analytics solutions.</li> <li>Experience working with cloud data tools and managing data from various sources, including structured and unstructured data.</li> <li>Background in a specific industry, such as finance, healthcare, or e-commerce, is beneficial but not required.</li> </ul> Benefits <ul> <li>Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.</li> <li>Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.</li> <li>Work-Life Balance: Flexible work schedules and telecommuting options.</li> <li>Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.</li> <li>Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.</li> <li>Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.</li> <li>Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.</li> <li>Tuition Reimbursement: Financial assistance for continuing education and professional development.</li> <li>Community Engagement: Opportunities to participate in community service and volunteer activities.</li> <li>Recognition Programs: Employee recognition programs to celebrate achievements and milestones.</li> </ul>

Arch Systems is looking for a Sr. Data Product Manager with a background in deeply technical SaaS B2B products to lead our data engine, which powers Arch's core functionality. This role combines product vision and technical know-how. You will shine in this role if you have a strong product management foundation and basic knowledge of SQL, AWS, and an aptitude for machine data analysis. This role requires PMs to translate machine insights into valuable product features, collaborating closely with engineering, data science, and users to create a powerful data platform that meets complex manufacturing needs.We're primarily seeking senior-level candidates, but strong mid-level applicants (2-4 years) may also be considered for a Product Manager role with the opportunity to grow within our team.What You Will Own & Drive* Product Strategy & Roadmap: Develop and execute a comprehensive strategy and roadmap for our data analytics platform. Ensure alignment with business goals and address the evolving needs of users in the manufacturing sector.* Stakeholder Collaboration: Partner with engineering, data science, customer success, and application engineering teams to understand user pain points, resolve technical challenges, and deliver impactful, high-value features.* Insight Development & Optimization: Define and establish actionable data insights specific to discrete manufacturing, including production efficiency, quality metrics, and uptime. Set standards for the types of insights our platform will deliver to optimize manufacturing processes.* Technical Expertise & Data Integration: Leverage data from diverse sources to make informed product decisions. Demonstrate a strong understanding of machine-generated data, connectivity, and integrity while ensuring the platform meets specific user needs.* Project Management & Organization: Apply strong organizational skills to manage and deliver product features on time, maintaining a structured approach to project execution and feature prioritization.What You Bring to The Table* Experience: 5+ years as a Product Manager in SaaS, ideally with a focus on technical, data-driven products. Candidates with 2-4 years of relevant experience may be considered for a mid-level Product Manager role with growth potential.* Education: Bachelor's degree in a technical field such as Computer Science, Engineering, Data Science, or related disciplines. Advanced degrees (MBA or MS) are preferred.* Analytical Skills: Proficient in data analytics and data engineering principles, with experience in tools and methodologies for KPI tracking, reporting, and driving data-centric decisions.* Technical Proficiency: Familiarity with SQL, AWS, and a foundational understanding of machine data analysis. Experience with machine connectivity, IoT, or industrial data systems is highly desirable.* Product Strategy & Vision: Demonstrated ability to create and drive a product vision, align product strategy with business goals, and roadmap data-intensive products for B2B users.* Cross-Functional Collaboration: Proven ability to work effectively across teams, including engineering, data science, customer success, and user teams, to translate user needs into valuable product features.* Project Management: Strong organizational and project management skills to ensure timely and structured delivery of product features, with an ability to handle multiple priorities effectively.* Communication Skills: Exceptional verbal and written communication skills, with the capacity to simplify technical details for diverse audiences and present insights that drive business impact.* Problem-Solving & Innovation: Demonstrated ability to think creatively and strategically to resolve technical challenges, identify new opportunities for product enhancement, and drive continuous improvement.* User-Centric Mindset: Deep empathy for users, with a knack for understanding their needs and translating them into data-driven solutions that provide measurable value.What Makes You Stand Out* Data Visualization & Reporting Tools: Experience with Grafana, business intelligence (BI) tools, and KPI reporting systems to monitor and visualize product performance.* Big Data Platforms & Industrial IoT: Exposure to big data platforms, machine connectivity, IoT systems, or similar industrial data environments that facilitate large-scale data processing and analysis.* Manufacturing Systems Knowledge: Familiarity with Manufacturing Execution Systems (MES), Material Requirements Planning (MRP), or Enterprise Resource Planning (ERP) systems to support product integration and user needs.* Manufacturing Metrics Expertise: Understanding of key manufacturing metrics, such as Units Per Hour (UPH), yield rates, downtime tracking, and the financial implications of these metrics on operational efficiency.How We Will Support You* Innovate with Impact: Be part of a team developing transformative data products that optimize and revolutionize manufacturing operations globally. Your work will directly impact efficiency, sustainability, and growth for some of the world's leading industrial companies.* Collaborative Environment: Join a passionate, multidisciplinary team that values innovation, open communication, and teamwork. We foster a culture of continuous learning, mutual respect, and cross-functional collaboration, empowering everyone to contribute meaningfully.* Growth & Development Opportunities: Advance your career through hands-on experience in product leadership, data-driven decision-making, and technical innovation. Arch supports professional development with pathways for skill enhancement, leadership growth, and increasing product vision expertise.* Equity & Ownership: Share in the company's success through equity ownership, aligning your personal success with Arch's mission and growth.* Remote-First Flexibility: Embrace a remote-first work culture that provides flexibility and balance, supporting productivity and connection in a collaborative virtual environment.Application ProcessPlease submit resumes in English. We encourage passionate applicants to apply, even if they don't meet every qualification. At Arch, we value authenticity and believe in hiring individuals as their full, unique selves. We're committed to fostering an environment where team members can leverage their strengths while continuously learning and growing. Don't let imposter syndrome hold you back-if you're excited about this opportunity, we'd love to hear from you!About Arch SystemsAt Arch Systems, we empower discrete manufacturing facilities with deep data insights that enable optimal efficiency, precise KPIs, and proactive decision-making. We work with leading manufacturers to integrate and optimize their data for actionable intelligence, fueling productivity and operational excellence.Compensation PracticesOur commitment to equitable compensation is central to our values. We benchmark our compensation structure against competitive market rates, specifically using data from the San Francisco Bay Area, to ensure fair and transparent pay practices. Our structure comprises a base salary, performance-based incentives, and, where applicable, equity ownership to align with our long-term vision.For US-based employees, our benefits package includes comprehensive healthcare options for both employees and dependents, retirement contributions, and other supportive resources for wellbeing and development.International applicants who join through our trusted global partners will receive benefits specific to their region and will also be granted non-qualified stock options (NQSOs) from Arch Systems, enabling them to share in our company's success.Remote EqualArch champions a remote-first work environment since its inception, promoting flexibility and inclusivity across all teams. While we welcome talent from diverse locations, we currently do not offer visa sponsorship.Arch is committed to full compliance with regulations from the Office of Foreign Assets Control (OFAC) to ensure alignment with all applicable sanctions programs. This means we do not engage in transactions or employment practices that conflict with OFAC regulations, including the hiring of individuals residing in regions subject to US sanctions

Arch Systems is looking for a Sr. Data Product Manager with a background in deeply technical SaaS B2B products to lead our data engine, which powers Arch's core functionality. This role combines product vision and technical know-how. You will shine in this role if you have a strong product management foundation and basic knowledge of SQL, AWS, and an aptitude for machine data analysis. This role requires PMs to translate machine insights into valuable product features, collaborating closely with engineering, data science, and users to create a powerful data platform that meets complex manufacturing needs. We're primarily seeking senior-level candidates, but strong mid-level applicants (2-4 years) may also be considered for a Product Manager role with the opportunity to grow within our team. What You Will Own & Drive <ul> <li>Product Strategy & Roadmap: Develop and execute a comprehensive strategy and roadmap for our data analytics platform. Ensure alignment with business goals and address the evolving needs of users in the manufacturing sector. </li><li>Stakeholder Collaboration: Partner with engineering, data science, customer success, and application engineering teams to understand user pain points, resolve technical challenges, and deliver impactful, high-value features. </li><li>Insight Development & Optimization: Define and establish actionable data insights specific to discrete manufacturing, including production efficiency, quality metrics, and uptime. Set standards for the types of insights our platform will deliver to optimize manufacturing processes. </li><li>Technical Expertise & Data Integration: Leverage data from diverse sources to make informed product decisions. Demonstrate a strong understanding of machine-generated data, connectivity, and integrity while ensuring the platform meets specific user needs. </li><li>Project Management & Organization: Apply strong organizational skills to manage and deliver product features on time, maintaining a structured approach to project execution and feature prioritization. </li></ul>What You Bring to The Table <ul> <li>Experience: 5+ years as a Product Manager in SaaS, ideally with a focus on technical, data-driven products. Candidates with 2-4 years of relevant experience may be considered for a mid-level Product Manager role with growth potential. </li><li>Education: Bachelor's degree in a technical field such as Computer Science, Engineering, Data Science, or related disciplines. Advanced degrees (MBA or MS) are preferred. </li><li>Analytical Skills: Proficient in data analytics and data engineering principles, with experience in tools and methodologies for KPI tracking, reporting, and driving data-centric decisions. </li><li>Technical Proficiency: Familiarity with SQL, AWS, and a foundational understanding of machine data analysis. Experience with machine connectivity, IoT, or industrial data systems is highly desirable. </li><li>Product Strategy & Vision: Demonstrated ability to create and drive a product vision, align product strategy with business goals, and roadmap data-intensive products for B2B users. </li><li>Cross-Functional Collaboration: Proven ability to work effectively across teams, including engineering, data science, customer success, and user teams, to translate user needs into valuable product features. </li><li>Project Management: Strong organizational and project management skills to ensure timely and structured delivery of product features, with an ability to handle multiple priorities effectively. </li><li>Communication Skills: Exceptional verbal and written communication skills, with the capacity to simplify technical details for diverse audiences and present insights that drive business impact. </li><li>Problem-Solving & Innovation: Demonstrated ability to think creatively and strategically to resolve technical challenges, identify new opportunities for product enhancement, and drive continuous improvement. </li><li>User-Centric Mindset: Deep empathy for users, with a knack for understanding their needs and translating them into data-driven solutions that provide measurable value. </li></ul>What Makes You Stand Out <ul> <li>Data Visualization & Reporting Tools: Experience with Grafana, business intelligence (BI) tools, and KPI reporting systems to monitor and visualize product performance. </li><li>Big Data Platforms & Industrial IoT: Exposure to big data platforms, machine connectivity, IoT systems, or similar industrial data environments that facilitate large-scale data processing and analysis. </li><li>Manufacturing Systems Knowledge: Familiarity with Manufacturing Execution Systems (MES), Material Requirements Planning (MRP), or Enterprise Resource Planning (ERP) systems to support product integration and user needs. </li><li>Manufacturing Metrics Expertise: Understanding of key manufacturing metrics, such as Units Per Hour (UPH), yield rates, downtime tracking, and the financial implications of these metrics on operational efficiency. </li></ul>How We Will Support You <ul> <li>Innovate with Impact: Be part of a team developing transformative data products that optimize and revolutionize manufacturing operations globally. Your work will directly impact efficiency, sustainability, and growth for some of the world's leading industrial companies. </li><li>Collaborative Environment: Join a passionate, multidisciplinary team that values innovation, open communication, and teamwork. We foster a culture of continuous learning, mutual respect, and cross-functional collaboration, empowering everyone to contribute meaningfully. </li><li>Growth & Development Opportunities: Advance your career through hands-on experience in product leadership, data-driven decision-making, and technical innovation. Arch supports professional development with pathways for skill enhancement, leadership growth, and increasing product vision expertise. </li><li>Equity & Ownership: Share in the company's success through equity ownership, aligning your personal success with Arch's mission and growth. </li><li>Remote-First Flexibility: Embrace a remote-first work culture that provides flexibility and balance, supporting productivity and connection in a collaborative virtual environment. </li></ul> Application Process Please submit resumes in English. We encourage passionate applicants to apply, even if they don't meet every qualification. At Arch, we value authenticity and believe in hiring individuals as their full, unique selves. We're committed to fostering an environment where team members can leverage their strengths while continuously learning and growing. Don't let imposter syndrome hold you back-if you're excited about this opportunity, we'd love to hear from you! About Arch Systems At Arch Systems, we empower discrete manufacturing facilities with deep data insights that enable optimal efficiency, precise KPIs, and proactive decision-making. We work with leading manufacturers to integrate and optimize their data for actionable intelligence, fueling productivity and operational excellence. Compensation Practices Our commitment to equitable compensation is central to our values. We benchmark our compensation structure against competitive market rates, specifically using data from the San Francisco Bay Area, to ensure fair and transparent pay practices. Our structure comprises a base salary, performance-based incentives, and, where applicable, equity ownership to align with our long-term vision. For US-based employees, our benefits package includes comprehensive healthcare options for both employees and dependents, retirement contributions, and other supportive resources for wellbeing and development. International applicants who join through our trusted global partners will receive benefits specific to their region and will also be granted non-qualified stock options (NQSOs) from Arch Systems, enabling them to share in our company's success. Remote Equal Arch champions a remote-first work environment since its inception, promoting flexibility and inclusivity across all teams. While we welcome talent from diverse locations, we currently do not offer visa sponsorship. Arch is committed to full compliance with regulations from the Office of Foreign Assets Control (OFAC) to ensure alignment with all applicable sanctions programs. This means we do not engage in transactions or employment practices that conflict with OFAC regulations, including the hiring of individuals residing in regions subject to US sanctions

Data Product Manager Jobs in San Francisco, CA

Sr Data Product Manager Data Quality Governance
December 10, 2024

Data Product Manager The Insight Enabler
December 7, 2024

Senior Data Product Manager
November 22, 2024

Data Product Manager The Insight Enabler
November 21, 2024

Senior Data Product Manager
November 18, 2024

Senior Data Product Manager
November 17, 2024

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Data Product Manager Jobs in San Francisco, CA

Sr Data Product Manager Data Quality GovernanceDecember 10, 2024

Data Product Manager The Insight EnablerDecember 7, 2024

Senior Data Product ManagerNovember 22, 2024

Data Product Manager The Insight EnablerNovember 21, 2024

Senior Data Product ManagerNovember 18, 2024

Senior Data Product ManagerNovember 17, 2024