Trissential

Data Engineer

• Own and evolve the enterprise customer domain model across conceptual, logical, canonical, and physical layers
• Define canonical customer entities, identifiers, hierarchies, and relationships across CRM, billing, CIS, and downstream systems
• Govern model evolution to support new business capabilities while preventing redundancy and fragmentation
• Resolve semantic conflicts and enforce consistent customer definitions enterprise‑wide
• Own customer‑centric data products including curated datasets, views, and domain data assets
• Define and maintain data product contracts (schemas, SLAs, quality rules, access patterns, and usage expectations)
• Partner with engineering and analytics teams to ensure data products are production‑ready, discoverable, and reusable
• Design customer data products to support analytics, reporting, and AI/ML use cases
• Ensure alignment with enterprise data platform standards (lakehouse, catalogs, governance frameworks)
• Guide ingestion, transformation, and persistence patterns to preserve model integrity and performance
• Collaborate with application, integration, and analytics architects to embed consistent customer data across solutions
• Define and enforce data quality standards, validation rules, and stewardship processes
• Partner with data governance teams on metadata, lineage, classification, and access controls
• Enable downstream teams through clear documentation, diagrams, and reference models
• Act as a subject‑matter expert for customer data during design reviews and delivery engagements

Senior Data Architect – Customer Domain

Project Manager

• Define and manage project scope, goals, deliverables, timelines, budgets, and quality standards
• Develop and maintain detailed project plans covering schedule, scope, cost, risk, resources, and quality
• Lead, motivate, and coordinate cross‑functional project teams and vendors
• Serve as the primary point of contact for stakeholders, ensuring clear and consistent communication
• Track and report on project progress, milestones, and financials
• Identify, assess, and mitigate project risks and issues proactively
• Ensure compliance with organizational policies, governance, and standards
• Drive continuous improvement by capturing lessons learned and best practices
• Oversee financial tracking, reconciliation, and budget adherence throughout the project lifecycle

Senior Project Manager

Product Manager

• Define and execute the product strategy and roadmap for a conversational AI platform supporting patient‑facing use cases
• Lead delivery of an MVP launch and manage iterative quarterly enhancements
• Own the full product lifecycle including strategy, planning, execution, monitoring, and optimization
• Translate business and patient needs into clear product requirements, user stories, and acceptance criteria
• Drive Agile product development processes including backlog management, sprint planning, and prioritization
• Partner cross‑functionally with engineering, design, clinical, and business stakeholders
• Collaborate with engineering teams leveraging Gemini (via Vertex AI) and retrieval‑augmented generation (RAG) pipelines
• Define and track KPIs, success metrics, and product performance indicators
• Proactively identify risks, plan contingencies, and resolve complex product and stakeholder challenges
• Act as the primary liaison between technical teams and non‑technical stakeholders

Senior Product Manager – Conversational AI

Financial Planning and Analysis

• Review, validate, and coordinate project intake requests for software and IT initiatives
• Ensure submissions are complete, accurate, and compliant with internal capitalization policies
• Route intake requests through supporting governance teams efficiently
• Partner with project managers, finance teams, and IT stakeholders to resolve intake questions
• Support accurate financial classification of project activities (Capital vs. Expense)
• Maintain strong data integrity across intake tools such as JIRA and SharePoint
• Assist with documentation and continuous improvement of intake and governance processes

Financial Analyst

• Lead and coordinate implementation activities supporting large‑scale operational modernization initiatives
• Partner with leadership, business units, and IT teams to support rollout planning, readiness, and issue resolution
• Drive implementation and adoption of SEMA4 and Self‑Service (PeopleSoft) workforce time entry processes
• Coordinate business process changes related to labor tracking, equipment usage, material usage, and work order management
• Facilitate cross‑functional meetings, workshops, and stakeholder discussions to drive alignment and decision‑making
• Develop rollout guidance, operational procedures, implementation tools, and regional support documentation
• Track progress, risks, dependencies, and key decisions across multiple stakeholder groups
• Support position costing model activities through coordination with internal business and data teams
• Perform basic to intermediate data analysis, including Excel reporting and pivot tables, to support operational decisions
• Drive consistent implementation and adoption approaches across multiple regional offices

Project Manager – Modernization Implementation

Business Analyst

• Design, build, and enhance SharePoint Online solutions, including site architecture, permissions, and metadata
• Translate business requirements into scalable, user-friendly solutions
• Provide user support and troubleshooting via ServiceNow, Teams, and intake systems
• Develop training materials, job aids, and adoption resources for business users
• Support enterprise content management (ECMS), governance, compliance, and retention practices
• Assist with migrations and modernization efforts across M365
• Promote adoption and best practices for SharePoint and Microsoft 365 tools
• Participate in Agile ceremonies, backlog refinement, and prioritization using JIRA
• Collaborate closely with internal teams, vendors, and enterprise architecture
• Provide light mentorship and guidance to interns when needed

Systems / Business Analyst III – SharePoint, Microsoft 365

Full-stack Engineer

• Design, develop, and deploy production-grade AI/ML and Generative AI solutions
• Build and optimize RAG pipelines, embeddings, semantic search, and document intelligence workflows
• Develop scalable APIs and full-stack applications supporting AI use cases
• Collaborate closely with system architects across the full software lifecycle
• Implement LLM evaluation frameworks, monitoring, and performance metrics
• Apply AI safety guardrails including content moderation and hallucination reduction
• Lead and mentor engineers through design, development, testing, and release cycles
• Communicate technical tradeoffs and progress clearly to stakeholders

Senior AI/ML Full Stack Engineer – Generative AI

• Develop, enhance, and maintain GIS application components using C# .NET and ESRI v10.1 toolsets
• Support system integrations related to Schneider Electric’s ADMS, including CIM import files
• Collaborate closely with the GIS Applications Team Leader and broader GIS team on ongoing initiatives
• Participate actively in daily standups, sprint planning sessions, and code reviews
• Troubleshoot, debug, and resolve application issues in complex GIS environments
• Provide weekly status reports outlining progress, risks, and dependencies
• Contribute to documentation and promote best practices in GIS application development

GIS Software Developer

Security Engineer

• Lead security initiatives from an architectural standpoint across enterprise projects
• Design, review, and approve security architectures ensuring alignment with enterprise standards and policies
• Develop high‑level and detailed technical designs covering applications, databases, infrastructure, and security platforms
• Govern architectural compliance and track exceptions while assessing and mitigating operational risk
• Present solutions and recommendations to enterprise architecture review boards
• Provide hands‑on architectural guidance to delivery and operations teams
• Collaborate cross‑functionally to align security architecture with enterprise strategy
• Ensure regulatory, compliance, and security requirements are met for new and existing solutions
• Drive continuous improvement of architectural processes, standards, and operational models
• Partner with vendors to evaluate, implement, and optimize security technologies

Project Architect – Security

• Own end ‑ to ‑ end global training strategy and delivery for the SAP S/4HANA program, from design through post ‑ go ‑ live sustainment
• Conduct Training Needs Analysis (TNA) and translate insights into actionable, region ‑ specific training plans
• Design role ‑ based learning journeys for corporate, manufacturing, operational, and regional users using ILT/VILT, e ‑ learning, microlearning, simulations, and job aids
• Hands ‑ on development and oversight of training content using modern learning and digital adoption platforms
• Design and facilitate train ‑ the ‑ trainer programs to enable regional trainers and SMEs
• Apply strong S/4HANA process and security role knowledge to ensure training is accurate and business ‑ relevant
• Partner closely with OCM, functional leads, SMEs, and IT to align training with adoption goals
• Establish training governance, quality standards, and sustainment strategies to ensure long ‑ term adoption
• Operate independently in a lean, fast ‑ paced environment, managing multiple workstreams and providing clear leadership updates

SAP Learning Transformation Lead

• Serve as the connective bridge across internal teams, external vendors, and system implementation partners
• Lead readiness and adoption efforts for the transition to Sage Intacct, replacing MIP Fund Accounting
• Support the transition of fiscal operations to an external end-to-end (E2E) partner
• Translate complex financial, system, and operational discussions into clear, actionable insights
• Identify organizational readiness gaps and drive targeted actions to address them
• Establish practical mechanisms to track progress, risks, decisions, and dependencies
• Capture and document critical processes, institutional knowledge, and transition decisions
• Proactively surface and mitigate risks related to compliance, audits, reporting, and key deadlines
• Support consistent, transparent communication across stakeholders during periods of change

Financial Systems Readiness & Adoption Lead

Architect

• Define and maintain target-state architecture for inpatient video visit and virtual care platforms.
• Develop multi‑year architecture roadmaps aligned with enterprise digital health strategy.
• Design end‑to‑end integrations across EHRs, IAM, scheduling, bed management, patient portals, and clinical communication tools.
• Establish interoperability patterns using HL7, FHIR APIs, and event‑driven architectures.
• Evaluate and govern vendor-supported telehealth platforms for scalability, security, and architectural fit.
• Architect secure data flows that meet HIPAA, HITECH, and NIST cybersecurity standards.
• Define standards for bedside devices, mobile carts, tablets, and audiovisual peripherals.
• Guide hybrid cloud and on‑prem deployment models, ensuring high availability and disaster recovery.

Application Architect – Inpatient Video Visit, Virtual Care Platforms

Technical Product Manager

• Own and manage cross‑product roadmaps and backlog prioritization across Customer Technical Products
• Drive delivery across Customer, Meter, Billing, and Payment Data Services, as well as supporting technical build teams
• Lead end‑to‑end delivery across the Plan / Build / Run lifecycle for data products and integration services
• Apply strong project and program management discipline, including scope, schedule, risk, and dependency management
• Coordinate delivery across multiple product teams, ensuring portfolio alignment and execution consistency
• Manage a multi‑vendor ecosystem, including vendor evaluation, onboarding, performance tracking, and accountability
• Oversee financial management across initiatives, including budgeting, forecasting, and cost tracking
• Partner closely with engineering, architecture, DevOps, and business stakeholders to ensure secure, scalable, reusable solutions
• Provide portfolio‑level reporting, governance updates, and executive‑ready delivery visibility

Technical Product Owner – Customer Technical Products

• Partner with business and technical stakeholders to define, document, and deliver high‑quality digital products
• Analyze business needs and translate them into clear business requirements, technical specifications, acceptance criteria, and user experience requirements
• Perform cost, benefit, and risk analysis across the product lifecycle and recommend solution alternatives
• Collaborate closely with Engineering and IT teams to support solution design, development, integration, and validation
• Utilize systems engineering and Agile methodologies consistently throughout the product and project lifecycle
• Establish clear product scope boundaries and manage scope, timelines, and delivery expectations
• Conduct data analysis and root cause analysis to proactively identify issues and propose solutions
• Interpret vendor‑provided solution architectures and translate them into integration requirements and technical scope
• Support deployment coordination and change management activities for assigned products
• Serve in a Product Owner capacity, prioritizing backlogs, mitigating roadblocks, and driving sprint and release goals

Product Owner – Digital Products, Healthcare

AI Engineer

• Design scalable, secure enterprise AI and GenAI architectures aligned to business strategy
• Lead solutioning and hands‑on prototyping of AI systems, including LLM‑based workflows
• Translate business needs into architecture diagrams, solution designs, and integration patterns
• Partner with data, platform, security, and application teams to embed AI into core enterprise systems
• Support delivery teams with implementation guidance, architectural tradeoffs, and best practices
• Contribute to enterprise AI platform development, reusable patterns, and standards
• Apply AI governance, risk, and security guardrails across all solutions
• Engage with external AI partners and assist in evaluating proof‑of‑value initiatives
• Present architectures and solution designs for enterprise review and alignment