Risepoint Logo

Risepoint

Senior Director, Partner Data

Posted 15 Days Ago
Remote
Hiring Remotely in US
Senior level
Remote
Hiring Remotely in US
Senior level
Leads Partner Data Integrations and Operations across two teams supporting university partners. Establishes case-management, monitoring, reconciliation, service-level, onboarding, and integration standards; drives automation and process redesign; oversees SIS integrations with systems such as Slate, Banner, and Workday; advises partner IT teams; shapes data architecture and product improvements; owns strategy, KPIs, hiring, team development, and executive reporting.
The summary above was generated by AI

Risepoint is an education technology company that helps regional universities launch and grow online programs for modern learners. Risepoint supports more than 100 universities and colleges across five countries, with programs concentrated in high-demand fields including nursing, healthcare, teaching, business, technology, and public service. Our suite of products and services supports the full student journey and each university’s long-term goals. Together, we increase access to affordable education that delivers a strong return on investment for learners and meets employer and community needs. Learn more at risepoint.com.


The Impact You Will Make

Risepoint's Partner Data organization is the operational backbone connecting more than 100 university partners to accurate, timely student and program data. We are seeking a Senior Director, Partner Data Integrations & Operations to lead this organization through its next stage: Reshaping two dedicated teams - Partner Data Operations and Partner Data Enablement, so day-to-day case resolution and forward-looking partner enablement each run to a higher standard.

In this role, you will lead a team who resolve partner data issues, run the recurring processes that keep partner systems in sync, and deliver new partner launches and relaunches. You will transform the team into a Partner Data Integrations & Operations team that runs disciplined, well-governed case management and monitoring, and a Partner Enablement Data team that gets ahead of partner needs - owning onboarding, relaunches, and acting as the systems subject matter expert for partner data integrations. Across both teams, you will instill a product mindset - ensuring day-to-day issue resolution and partner enablement work continually surface and drive broader improvements to Risepoint's partner data products and integrations, not just close individual cases.

The ideal candidate pairs technical fluency in SIS systems and integrations with hands-on operations leadership, ideally built in ed-tech, higher education, or another partner-based, data-intensive environment. This person can read a data flow as comfortably as they can run a case-management queue, and can operate with real autonomy while keeping cross-functional partners - Enterprise Data, Partner Support, Student Success Center, and CRM - aligned.

How You Will Bring Our Mission to Life

What You Will Do

  • Build the operating model, leadership capability, and standards for the Partner Data Operations team - defining how partner data cases are triaged and resolved, and how monitoring and reconciliation work keeps partner systems accurate and reliable
  • Set clear service-level standards and escalation rules for the Partner Data Integrations & Operations team, collaborating with Enterprise Data, Partner Support, SSC, and CRM, replacing today's informal, case-by-case routing.
  • Drive automation and process redesign to cut repeat, low-judgment case volume and free the team for higher-value work.
  • Instill and enforce a product mindset across the organization, ensuring that case resolution and monitoring work routinely surfaces patterns and root causes that translate into broader improvements to partner data systems and integrations, not just one-off fixes.
  • Stand up Data Integration Engineering to work directly with partner SIS systems (Slate, Banner, Workday, and others), producing a repeatable integration playbook per system rather than one-off, person-dependent builds.
  • Serve as the strategic advisor partner-facing technical lead for new partner onboarding, engaging directly with partner IT and SIS teams from day one to scope integrations, unblock technical issues, and set the relationship up as a strong technical partnership rather than a handoff
  • Grow the Partner Enablement Data team into the go-to subject matter expert on partner systems, data, and workflows, bringing that expertise, and a product mindset, into every partner engagement so the team can advise Partner Management and partners directly on how Risepoint's products should integrate for a successful partnership.
  • Champion the architectural fixes that tooling can't replace to shape the cross-functional roadmap and priorities for partner data architecture, aligning Partner, Data, Product, and Technology leaders around enterprise-wide solutions, turning structural gaps into system enhancements and architectural improvements that go beyond what validation and tooling alone can fix.
  • Own the partner data strategy - setting priorities, investment choices, and trade-offs across the Partner Data Integrations & Operations and Partner Enablement Data teams, including owning validation and monitoring tooling (such as an Agentic AI validation tool) and standardizing file formats, data mapping, and integrations across a partner portfolio that today runs on multiple legacy systems with no single standard.
  • Lead, hire, and develop Partner Data Integrations & Operations organization across two teams; report on case trends, launch progress, and team performance to senior leadership, and own the KPI scorecard for partner data operations.
  • Operate autonomously with minimal oversight, proactively identifying issues and driving solutions, and influence decisions across the organization using data-driven reasoning, storytelling, and a strong executive presence.

What Success Looks Like

  • Partner data cases are resolved quickly and consistently against clear service-level targets, improving the partner and student experience.
  • New partner launches and relaunches run on a repeatable playbook and go live on time, without depending on any one person.
  • A capable Partner Enablement Data team is established and recognized as the systems expert for partner data integrations.
  • Partner data is treated as a strategic differentiator, not just a support function, opportunities such as richer application-form and retention data are identified and pursued to improve partner business outcomes, beyond fixing what's broken.
  • New partners experience includes integrations & operations team as a direct, hands-on partner during onboarding, not just a backend resource.

How Impact Will be Measured

  • Case volume, resolution time, and incident rate for partner data issues trend down, with clear SLAs defined and met.
  • New partner launches and relaunches hit target go-live dates at a high rate, using a documented, repeatable process.
  • Manual, repeat case volume drops through automation, and partner satisfaction with data support improves
  • Product and system improvement ideas surfaced from case and partner-enablement work are tracked, prioritized, and shipped, with a measurable reduction in partner-specific workarounds as upstream product gaps close.

What You’ll Bring to the Team

Experience That Matters Most

  • 8+ years leading data operations, technical support, or partner/customer success teams, including at least 3 years managing managers or multiple teams. (Must have)
  • Technical fluency with data systems (snowflake, databricks) and integrations (file feeds, SFTP, APIs) and CRM platforms such as Salesforce, comfortable going deep with engineering and data teams. (Must have)
  • Experience in ed-tech, higher education, or another partner-based, data-intensive industry. (Must have)
  • Experience with SIS systems such as Slate, Banner, Workday, and others (Must have)
  • Comfort as the client-facing point of contact on technical onboarding conversations, not just an internal operator.
  • A track record of building or restructuring an operations team, setting up intake, case management, and service-level standards. (Must have)

Experience That’s Great to Have

  • Background in partner onboarding, implementation, or customer launch and migration management.
  • Familiarity with Agile or Jira-based work management (epics, sprints, backlog prioritization).
  • Prior experience partnering with Enterprise Data or engineering teams on system enhancements and data-quality initiatives.
  • Experience partnering with Product teams to translate operational or partner pain points into product requirements, with comfort operating with a product mindset in an operations seat.

Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.

Similar Jobs

12 Minutes Ago
Remote or Hybrid
CA, USA
238K-322K Annually
Senior level
238K-322K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Set the technical direction for Rapid7’s LLM and agentic AI systems. Lead architecture, model strategy, fine-tuning, post-training, inference optimization, evaluation standards, and complex cross-team initiatives. Build critical model and inference code, mentor senior engineers, resolve technical trade-offs, and influence product and platform strategy across cybersecurity products.
Top Skills: Agentic AiAWSClassical Machine LearningCudaDeepspeedDistributed TrainingDpoFsdpGrpoLlmsLoraPredictive AiPythonPyTorchQloraSglangTensorrt-LlmTransformer ArchitectureTritonVllm
12 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
44K-70K Annually
Junior
44K-70K Annually
Junior
Big Data • Fintech • Mobile • Payments • Financial Services
Resolves escalated customer inquiries through email and occasional phone support, applying product and financial knowledge to investigate complex issues. Maintains quality and productivity standards, identifies process improvements, supports training and new product launches, collaborates cross-functionally, manages schedules and channels, and creates procedural documentation. Requires English and French proficiency, strong communication, judgment, organization, and customer service experience in an omnichannel environment.
Top Skills: Google WorkspaceMac (Ios)
12 Minutes Ago
Remote or Hybrid
CA, USA
274K-371K Annually
Expert/Leader
274K-371K Annually
Expert/Leader
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Sets Rapid7’s company-wide AI technology vision, architecture strategy, and multi-year roadmap for security products. Leads production LLM and agentic AI initiatives, establishes engineering, evaluation, and responsible-AI standards, and guides model and infrastructure investments. Partners with executives, mentors senior engineering leaders, solves high-impact technical challenges, and represents Rapid7 externally. The role spans LLMs, predictive AI, classical machine learning, distributed systems, and scalable AI production infrastructure.
Top Skills: Agentic AiAWSClassical Machine LearningData PlatformsDistributed SystemsFrontier ModelsLlmsOpen-Source ModelsPredictive AiTransformer Architecture

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account