Senior Manager, Data & AI Platform Integrations

Element Science, Inc.; Houston (TX); On-site; USD 165,000 - 188,000; Full time

Benefits offered by this job

Stock Options

Medical, dental, vision insurance (em-

Company-paid Basic Life Insurance

401(k) retirement plan

Competitive Paid Time Off

Paid Holidays

FSA

HSA

Employee Assistance Program

Job summary

Element Science, Inc. is seeking a hands-on Senior Manager, Integration, Data & AI Platforms to own the connective layer of our enterprise technology: the integrations that move orders, patient, clinical, billing, and financial data between our systems; the data platform that turns that data into reporting and insight; and the AI agents and internal applications that extend the capacity of our teams.

As we scale from development to commercialization, you will design standards, govern data

Qualifications

• 8+ years in enterprise integration, data, or application development within an IT organization.
• 2+ years leading technical staff, contractors, or a technical program end-to-end.
• Hands-on with an enterprise iPaaS—Dell Boomi strongly preferred; MuleSoft, Workato, or Informatica considered.

Responsibilities

• Own the enterprise integration architecture and delivery roadmap on Boomi across Salesforce, billing, clinical, ERP, payer, and contact-center systems.
• Lead hospital EMR connectivity design and onboarding waves using HL7 v2 and FHIR.
• Build and maintain a documented interface catalog with data flow, PHI classification, error handling, monitoring, and SLA definitions.

Skills

Enterprise integration

Team leadership

Python

SQL

LLM apps

Data governance

Education

Bachelor's degree in CS/Engineering

Tools

Dell Boomi

MuleSoft

Workato

Informatica

Google Cloud

BigQuery

Snowflake

Redshift

Job description

Element Science, Inc. is seeking a hands-on Senior Manager, Integration, Data & AI Platforms to own the connective layer of our enterprise technology: the integrations that move orders, patient, clinical, billing, and financial data between our systems; the data platform that turns that data into reporting and insight; and the AI agents and internal applications that extend the capacity of our teams.

As we scale from development to commercialization, you will design standards, govern data