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Southern New Hampshire University

Integrations Product Owner

Posted 5 Days Ago
Remote
Hiring Remotely in USA
94K-151K Annually
Senior level
Remote
Hiring Remotely in USA
94K-151K Annually
Senior level
Owns the enterprise integrations product backlog, roadmap, requirements, prioritization, and delivery visibility. Partners with engineering, architecture, governance, AI/ML, and business teams to align integration capabilities with business value, data governance, security, technical dependencies, and platform capacity. Evaluates integration patterns and scalable data ingestion and delivery solutions, coordinates system onboarding, resolves risks and gaps, and incorporates AI/ML data needs into prioritization and design decisions.
The summary above was generated by AI

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us — and helped us grow a team that now serves over 180,000 learners worldwide.

Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you.

Make an impact — from near or far

At SNHU, you'll have the option to work remotely in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming.

We ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace that is free of distractions. Employees must reside in, and work from, one of the above approved states.

The opportunity

The Integrations Product Owner provides ownership and prioritization across the enterprise integrations landscape, ensuring that data movement and integration between systems, including the organization's cloud-based enterprise data platform, is aligned with business value, enterprise architecture, and institutional priorities. This role establishes clear accountability for integration decisions and works cross-functionally to build alignment and drive integration capabilities forward in a coordinated, scalable, and value-driven manner.

Primary Duties and Responsibilities:

  • Own and manage the integrations product backlog, roadmap, and prioritization across enterprise systems.
  • Define integration requirements in partnership with business and technical stakeholders.
  • Sequence and prioritize integration work based on business value, downstream consumption needs, technical dependencies, and platform capacity.
  • Work cross-functionally with engineering and enterprise architecture to evaluate integration scope, pattern selection, and trade-offs, driving toward consensus and shared buy-in rather than acting as sole authority.
  • Partner with architecture and governance teams to help ensure integration patterns are applied where they drive clear business or latency value, rather than by default, and to keep integrations aligned with data governance and security standards.
  • Coordinate across engineering, architecture, AI/ML, and business teams to ensure delivery clarity and alignment.
  • Translate business needs into actionable, well-defined business requirements for engineering teams.
  • Partner with business stakeholders to understand current and evolving needs, and coordinate the onboarding of new software or systems into the integrations landscape in partnership with the engineering group.
  • Establish and maintain visibility into integration demand, progress, and delivery outcomes.
  • Identify risks, dependencies, and gaps in integration capability and work with the relevant teams to drive resolution.
  • Build understanding of how AI/ML capabilities consume and depend on integrated data, and factor those needs into integration prioritization and design conversations.
  • Uses approved Artificial Intelligence tools and emerging technologies responsibly in alignment with SNHU guidance as part of regular role responsibilities.
  • Monitor outcomes and continuously refine prioritization to maximize business value.
  • Attendance, punctuality, and reliability are essential functions of this role
  • Other duties and responsibilities as assigned. Job responsibilities can change at any time, with or without notice.

 Minimum Qualifications:

  • Years of experience: 7+ years of experience in a combination of product ownership, business analysis, software delivery, software development, or solution architecture
  • Degree(s): Bachelor’s degree in Information Systems, Computer Science, Business, or a related field
  • Equivalent of experience in lieu of degree acceptable:  x   Yes    No
  • Professional certification(s): N/A
  • Experience managing product backlogs, prioritization, and stakeholder alignment, or comparable experience leading technical delivery and translating it into business-facing decisions
  • Strong understanding of system integrations, data movement, and cross-system dependencies
  • Working knowledge of integration patterns, including batch ETL/ELT and event-driven/streaming (CDC)
  • Familiarity with modern cloud data platform concepts (e.g., a stack such as Azure Databricks, Data Factory, Data Lake Storage, Kafka/Event Hubs, Delta Lake, or similar tools serving equivalent purposes) sufficient to understand platform capabilities and have informed conversations with engineering and architecture.
    • Hands-on development experience is not required, and the ability to learn a specific stack is more important than specific exposure
  • Proven ability to manage competing priorities and drive decisions across multiple teams and stakeholders
  • Experience translating business needs into clear, actionable requirements for engineering teams
  • Experience evaluating integration solutions for data ingestion and delivery at scale
  • Experience working in complex, multi-system or enterprise environments

Preferred Qualifications:

  • Experience working in Agile or product delivery environments
  • Familiarity with how AI/ML systems integrate with and consume data from an enterprise data platform, including relevant considerations for efficiency, security, and governance
  • Familiarity with using AI tools to support day-to-day efficiency and effectiveness in managing and coordinating with engineering teams (e.g., synthesizing technical discussions, drafting requirements, tracking work)
  • Background in higher education or similarly complex organizations

We believe real innovation comes from inclusion - where different experiences, perspectives and talents are celebrated. So if you're wondering whether SNHU is right for you, take the leap and apply. You might be just the person we're looking for.

Compensation

The annual pay range for this position is $94,130.00 - $150,634.00. Actual offer will be based on skills, qualifications, experience and internal equity, in addition to relevant business considerations. We expect this position to be hired in the following target hiring range $104,012.00 - $140,723.00.

Exceptional benefits (because you’re exceptional)

You’re the whole package. Your benefits should be, too. As a full-time employee at SNHU, you’ll get:

  • High-quality, low-deductible medical insurance

  • Low to no-cost dental and vision plans

  • 5 weeks of paid time off (plus almost a dozen paid holidays)

  • Employer-funded retirement

  • Free tuition program

  • Parental leave

  • Mental health and wellbeing resources

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