1,943,269open jobs
113,788companies
244,730added this week
Browse all
Salary
≈ $150k – $301k per year (Estimated)
Location
Remote (likely United States)
Seniority
Architect
Employment
Full-Time

First seen by Alion on Oct 18, 2026.

Overview
Company
Impact
Profile match
Risepoint, formerly known as Academic Partnerships, is an education technology company that helps regional universities launch and grow online programs. It supports more than 100 universities and colleges across five countries in fields such as nursing, healthcare, teaching and business. The company is based in the United States.

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 LifeWhat 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 TeamExperience 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.

Originally posted on Himalayas

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,943,269 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Leadership
Similar stack
Same company
In your city
Head of Data & AI 1 hour ago
≈ $146k – $292k per year (Estimated) • Remote (location not specified) • 7+ years exp
Python
C#
C#
.NET
AI/ML
NLP
TensorFlow
PyTorch
Machine Learning
DevOps
GCP
Azure
AWS
Cybersecurity
PCI DSS
GDPR
Apply
≈ $136k – $245k per year (Estimated) • Remote (United States) • Full-Time • 8+ years exp • Bachelor's Degree • United States
Apply
≈ $91k – $207k per year (Estimated) • Remote (Australia) • Full-Time • Sydney
AI/ML
Vertex AI
AI Agents
AWS Bedrock
RAG
OpenAI
DevOps
Azure
AWS
Apply
≈ $164k – $295k per year (Estimated) • Remote (United States) • Full-Time • 8+ years exp • Bachelor's Degree • Plano
AI/ML
AI Agents
Agentic Workflows
Machine Learning
Apply
≈ $158k – $285k per year (Estimated) • Remote (United States, US time zones hours) • Full-Time • 10+ years exp • New York • Washington • Columbia
SQL
Analytics
A/B Testing
Apply
≈ $19k – $44k per year (Estimated) • In office • Full-Time • 2+ years exp • Bachelor's Degree • Hyderabad
Python
JavaScript
Java
TypeScript
SQL
Java
Spring Boot
Databases
Snowflake
Databricks
AI/ML
AI Agents
LLM
Frontend
Angular
DevOps
Rest API
Azure
CI/CD
AWS
Docker
Kubernetes
Cybersecurity
SOC 2
GDPR
Management
Confluence
Jira
ServiceNow
Agile
Scrum
Apply
Remote (likely United States)
JavaScript
TypeScript
Node JS
Node JS
Nest.JS
Databases
PostgreSQL
AI/ML
AI Agents
Mobile
Dependency Injection
DevOps
Rest API
AWS
Docker
Kubernetes
API Gateway
Apply
≈ $12k – $28k per year (Estimated) • In office • Moscow
Python
SQL
Bash
Databases
PostgreSQL
Apache Kafka
AI/ML
AI Agents
DevOps
Terraform
Ansible
Zabbix
Helm
GitHub Actions
Istio
OpenTelemetry
Prometheus
Yandex Cloud
GitLab CI
CI/CD
Jenkins
Git
Docker
Kubernetes
Grafana
Service Mesh
TeamCity
Linux
TCP/IP
DNS
VPN
Apply
In office • Internship • Shanghai
AI/ML
Qwen
RLHF
AI Agents
NLP
TensorFlow
PyTorch
DPO
PPO
Agno
Apply
≈ $28k – $76k per year (Estimated) • Remote (Belarus, Serbia, Greece, Portugal) • Full-Time • Lisbon • Belgrade • Athens • Minsk
PHP
PHP
WordPress
AI/ML
AI Agents
Apply
≈ $139k – $292k per year (Estimated) • Remote (likely United States) • Full-Time
Management
Agile
Apply
≈ $75k – $155k per year (Estimated) • Remote (likely United States) • Full-Time
Python
SQL
Python
pySpark
Databases
Databricks
Delta Lake
AI/ML
Spark
Analytics
Power BI
Apply
Paid Media Manager 13 days ago
≈ $57k – $125k per year (Estimated) • Remote (likely United States) • Full-Time • 3+ years exp
Apply
Senior Data Scientist 15 days ago
≈ $89k – $199k per year (Estimated) • Remote (likely United States) • Full-Time • 5+ years exp
Python
SQL
Databases
Databricks
AI/ML
Dagster
MLFlow
XGBoost
dbt
Scikit-learn
TensorFlow
PyTorch
Feature Store
Recommender Systems
Machine Learning
Analytics
A/B Testing
Apply
≈ $120k – $235k per year (Estimated) • Remote (likely United States) • Full-Time • 10+ years exp
Apply
See all jobs
This is one of many
1,943,269 more open roles from verified company boards, updated every day.