IT Senior Manager, Integration, Data & AI Platforms

Summary of Role

Element Science 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 clinical, patient-services, revenue-cycle, and finance teams.

Responsibilities

• Own the enterprise integration architecture and delivery roadmap on Dell Boomi, including the phased integrations between Salesforce and our billing, clinical, ERP, payer, and contact-center systems.
• Lead hospital EMR connectivity: design the EMR integration platform and deliver onboarding waves with our commercial and clinical partners, using HL7 v2 and FHIR standards and appropriate interface partners.
• Build and maintain a documented interface catalog with data-flow, ownership, PHI classification, error handling, monitoring, and SLA definitions for every production interface.
• Establish integration standards, versioning, environments, change control, testing, logging, alerting, and runbooks that satisfy HIPAA, SOC 2, and, where interfaces touch validated systems, 21 CFR Part 11 change-control expectations.
• Design and deliver the enterprise data platform on Google Cloud (BigQuery with a modern transformation and BI layer), starting with revenue-cycle and commercial operations reporting and expanding across the business.
• Define and implement data governance for a regulated healthcare environment: data classification (PHI / PCI / GxP), access controls, lineage, retention, data-quality monitoring, and audit evidence.
• Lead master data management for patients, prescribers, accounts, payers, and products, working with Business Systems and functional owners to establish sources of truth and stewardship.
• Partner with Finance, Commercial, Revenue Cycle, and Operations to deliver trusted dashboards and self-service reporting, and to retire manual spreadsheet-based reporting.
• Own the platform and practices for the AI agents and internal applications we build on Google Cloud, with a disciplined local → staging → production development flow.
• Deliver and operate production AI agents in partnership with business owners, beginning with order quality checks and patient and clinic communications, and extending to voice workflows and revenue-cycle automation, framed around team capacity, turnaround time, and cost-to-collect.
• Stay curious and hands-on as the AI landscape moves: evaluate emerging models, agent frameworks, and tooling; run small experiments before committing; and be willing to change the stack as we learn what works in our environment.
• Implement the practices that make AI safe to run in a regulated company: evaluation, human-in-the-loop review, version control for prompts and models, observability, PHI boundaries, and clear documentation of what each agent may and may not do.
• Contribute to the company's AI governance program and training efforts, including vendor and model assessments and the technical standards that keep protected data inside BAA-covered services.
• Own the IT-managed Google Cloud environment for this domain (IAM, networking, secrets, cost management, backup and recovery, infrastructure-as-code) in partnership with IT Operations & Security.
• Build for auditability from day one: maintain the design documentation, change records, access reviews, and monitoring evidence needed for HIPAA, SOC 2 Type II, PCI-scoped payment integrations, and Part 11 where applicable.
• Participate in vendor selection and diligence for integration, data, and AI tooling, and manage the day-to-day relationships with those vendors and implementation partners.
• Direct and quality-review the work of contractors and implementation partners; hire, develop, and lead a small IT team in this domain as the roadmap scales.
• Translate business problems into a prioritized, sequenced roadmap; present plans, trade-offs, and progress to IT leadership and cross-functional stakeholders in clear, non-technical terms.
• Act as the technical counterpart and backup to the Head of IT & Security for this domain, including architecture decisions, roadmap ownership, and executive-level communication.

What Success Looks Like

• Within 90 days: you own the interface catalog and the in-flight Salesforce ↔ billing integration, with monitoring and change control in place for production interfaces.
• Within 6 months: the next integration phase is delivered, the analytics platform is live for revenue-cycle and commercial reporting, and the first production AI agent is operating under documented governance.
• Within 12 months: the EMR integration platform is in production with the first hospital onboarding wave underway, ERP integrations are delivered, and this domain passes internal SOC 2 readiness review with no significant findings.