3 дня назад
Senior Data Informatics Business Partner (Healthcare)
148 137 - 214 760$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Informatics Business Partner (Healthcare): Translating clinical and operational workflows into structured, outcome-oriented data, analytics, AI, and integration requests with an accent on data governance, privacy, interoperability, and responsible AI. Focus on advising stakeholders across complex healthcare domains, clarifying intake requirements, and evaluating trust, adoption, and business impact.
Location: 100% remote; must live within the United States
Salary: $148,137.60–$214,760.00 per year
Company
is a major healthcare provider focused on patient-centered care, clinical excellence, research, and employee development.
What you will do
- Provide clinical and operational informatics context for data access, integration, interoperability, and workflow needs.
- Analyze how data is created, transformed, moved, interpreted, and used across clinical and business systems.
- Advise physicians, researchers, operational leaders, and delivery teams on complex data and analytics initiatives.
- Apply data governance, quality, privacy, responsible AI, and control requirements to real-world use cases.
- Design and maintain intake taxonomies and documentation covering outcomes, success measures, assumptions, constraints, and adoption needs.
- Define evaluation approaches, identify recurring intake issues, and recommend improvements to processes, standards, and governance guidance.
Requirements
- Bachelor’s degree in healthcare, clinical informatics, informatics, business, public health, information systems, or a related field.
- At least 8 years of relevant experience, including 3+ years working consultatively with clinical, research, operational, financial, or administrative stakeholders.
- Experience with data, analytics, AI, governance, or digital delivery in healthcare or another regulated environment.
- Advanced knowledge of enterprise data governance, data quality, master data, metadata management, privacy, and responsible AI.
- Experience working across multiple data-producing systems, end-to-end data flows, pipelines, and complex application landscapes.
- Strong communication, facilitation, synthesis, ambiguity management, and stakeholder advisory skills.
Culture & Benefits
- Full-time schedule with Monday–Friday daytime hours.
- Medical, dental, and vision plan options.
- HSA and FSA pre-tax savings options for eligible expenses.
- Competitive retirement package.
- Continuing education and career advancement opportunities.
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