Accountabilities

Integration Architecture & Design: Lead and support the technical design, implementation, and maintenance of integrations across CRM platforms and connected business systems, including Workday, HubSpot, Snowflake, Airtable, FundraiseUp, and other enterprise applications.
Define integration specifications covering data mapping, synchronization logic, APIs, error handling, and downstream system impacts to ensure reliable data flows.
Collaborate with business stakeholders, IT teams, and external vendors to translate business requirements into clear technical specifications and ensure solutions are implemented according to agreed standards.
Maintain and update current-state integration inventories, technical documentation, and future-state architecture plans to support long-term system reliability and maintainability.
CRM Modernization & Migration: Serve as a key technical contributor to CRM modernization initiatives, documenting existing architecture, defining integration requirements, and designing future-state integration models.
Partner with technical and business leadership to establish identity resolution strategies and system-of-record rules, ensuring constituent records can be accurately matched and connected across platforms.
Contribute to CRM vendor evaluations by assessing data model compatibility, API and integration capabilities, and technical migration risks.
Support technical reviews, quality assessments, and approval processes at key migration milestones, ensuring integration deliverables meet established requirements.
AI & Emerging Technologies: Identify and prioritize opportunities to use artificial intelligence, automation, and emerging technologies to improve integration processes and data operations.
Translate business challenges into practical technical requirements and implementation roadmaps for AI-powered tools, including large language model (LLM) applications, retrieval systems, and automated workflows.
Evaluate technology solutions using build-versus-buy assessments, vendor comparisons, model evaluations, and cost-benefit analyses.
Promote responsible AI adoption by considering security, data privacy, accuracy, scalability, and operational effectiveness.
Assess when AI-powered solutions offer meaningful advantages over traditional automation and recommend simpler alternatives when more appropriate.
Data Governance: Contribute technical expertise to data governance initiatives, ensuring integration architecture aligns with approved organizational standards and policies.
Identify potential governance issues and data-standard implications early in the design process, helping prevent inconsistencies and supporting responsible data management.

Requirements

At least 5 years of professional experience in a technical role involving CRM platforms or business systems, such as integration architecture, systems analysis, business systems administration, or data engineering.
Demonstrated ability to translate business needs into clear technical requirements and communicate complex technical concepts and trade-offs to non-technical stakeholders.
Strong written and verbal communication skills, with experience leading requirements discussions involving departments such as fundraising, marketing, and operations.
Hands-on experience with REST APIs, data mapping, and synchronization logic, including the ability to interpret API documentation and assess technical implementation approaches.
Working knowledge of at least one major CRM platform, such as HubSpot, Blackbaud CRM, Raiser's Edge, Salesforce, or an equivalent solution.
Familiarity with SQL, relational data models, and data management principles.
Experience producing clear technical and business documentation, including data flow diagrams, integration inventories, technical specifications, and requirements documents.
Proven ability to collaborate with IT teams, system owners, business stakeholders, and external vendors throughout implementation projects.
Good understanding of data privacy, information security, and responsible technology practices when handling sensitive constituent information.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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