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Fusion Risk Management

Data Consultant

Remote, United States

$120,000 to $145,000 USD / year

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Job details

Pay: $120,000 to $145,000 USD / year
Experience: 5+ years of experience in data integration, data management, or technical consulting, including customer-facing delivery
Posting language: English
Posted: Nov 3, 2026

Original job description

The Role

The Data Consultant is a customer-facing expert in getting data into and flowing through the Fusion platform. You will work with customers to understand what data they have, where it lives, and how it should move into Fusion, then guide them to the right approach so they get more value from the platform.

This role pairs strong data integration skills with consulting skills. You will advise customers on data strategy, design and support the integration methods that fit their environment, and help implementation teams deliver data solutions that are reliable, secure, and sustainable. You will work closely with customers, implementation consultants, Technical Architects, Customer Success, Support, and Product, serving some of the world’s most complex and resilience-critical organizations.

Key Responsibilities

Consult with customers, engagement managers, and solution leads to understand business goals, data sources, and data quality, and recommend how to get data flowing into Fusion to drive value
Assess customer data readiness, including source systems, ownership, quality, and refresh needs, and document a clear path from current to target state
Advise customers on methods for getting data into Fusion, including bulk file loads, APIs, scheduled and automated integrations, and middleware or iPaaS tools, and recommend the best fit for each situation including AI.
Design data models, mappings, and load strategies that preserve data integrity and support reporting, analytics, and downstream use cases
Configure, build, and support integrations with customer systems, working with the customer’s technical teams as needed
Lead data workshops and working sessions with customers, explaining options and trade-offs in clear, non-technical terms
Troubleshoot data load and integration issues and resolve root causes with customers, Support, and Product
Advise and mentor implementation consultants on data best practices, templates, and integration approaches
Create repeatable data integration patterns, templates, and guides, and capture lessons learned to improve delivery across engagements
Help customers establish data governance and ongoing data maintenance practices so their data stays accurate and current
Share field insight with Product and Engineering to inform platform and integration roadmap priorities
Leverage AI tools to improve efficiency in data mapping, analysis, validation, and troubleshooting, and share useful practices with the team

Knowledge, Skills, and Abilities

Strong understanding of data integration concepts, including APIs (REST), file-based and bulk loads, ETL/ELT, data mapping and transformation, and event-driven or scheduled integrations
Experience working with data from enterprise systems such as HR, ITSM, CMDB, GRC, finance, and risk and resilience tools
Strong data analysis, quality, and validation skills, including the ability to identify and resolve data issues
Working knowledge of SQL and data modeling; scripting or API tooling experience (e.g., Python, Postman) is a plus
Consulting skills, including discovery, requirements gathering, solution recommendation, and managing customer expectations
Strong verbal and written communication skills, with the ability to explain technical data concepts to executive and non-technical audiences
Ability to facilitate workshops and influence customer decisions on data approach and priorities
Strong problem-solving, organization, and project management skills, with the ability to manage multiple engagements at once
Ability to learn a new enterprise platform quickly
Familiarity with AI tools and a willingness to build them into day-to-day work
Agile methodology experience (Scrum, Kanban)

Qualifications (Education and Experience)

Bachelor’s degree in Information Systems, Computer Science, Data Management, or a related field, or equivalent experience
5+ years of experience in data integration, data management, or technical consulting, including customer-facing delivery
Experience in enterprise B2B software or professional services environments
Preferred: Experience with the Fusion platform, or with an enterprise SaaS platform implementation in risk, resilience, GRC, or business continuity
Preferred: Experience with an integration platform or middleware tool (e.g., MuleSoft, Boomi, Workato, Azure Integration Services)
Preferred: Salesforce certification (e.g., Platform App Builder or Platform Developer)

Milestones for the first three months

In one month, you will:

Complete all HR and onboarding requirements
Review recorded demonstrations and shadow colleagues to learn the role
Begin learning the Fusion platform and the Professional Services delivery model
Build relationships across Professional Services, Customer Success, Support, Product, and Engineering

In three months, you will:

Understand the Fusion platform and its data import and integration options well enough to guide customers
Support data discovery and integration planning on active customer engagements
Begin regular working sessions with implementation consultants on data approaches

Compensation & Benefits

The annual base salary range for this position is $120,000-145,000, depending on the candidate’s experience, qualifications, and relevant skill set. This role is eligible for bonus incentives and may participate in long-term incentive programs. Fusion offers a comprehensive benefits package including medical, dental, vision, and a 401(k) plan.

Fusion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, pregnancy, military service or discharge status, genetic information, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.

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More about this job

Skills

Data models
Reporting
Troubleshoot
Data engineering
IT service management
Data analysis
SQL
Data modelling
Python
Postman
Requirements gathering
Communication skills
Problem solving
Project management
Scrum
Kanban
Computer science
Data management
Provide technical expertise
MuleSoft
Microsoft Azure
Salesforce
Onboarding

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