Trissential

Scrum Master

• Lead planning and execution of enterprise-level Data, Cloud, and AI transformation programs
• Develop and manage project roadmaps, delivery plans, milestones, and dependencies
• Drive accountability across business, technical, and vendor teams to ensure delivery success
• Facilitate decision-making and proactively remove obstacles impacting timelines
• Balance Agile methodologies with strong project governance and executive reporting
• Build and maintain strong stakeholder relationships, including executive sponsors
• Communicate project health, risks, dependencies, and decisions clearly across all levels
• Manage comprehensive project controls including schedule, scope, RAID logs, and reporting
• Monitor risks and implement mitigation strategies and contingency plans
• Support Agile teams with planning, prioritization, and delivery execution
• Enable alignment between business goals and technology solutions
• Support AI-enabled process automation and operational transformation initiatives

Senior Project Manager – Agile Delivery & Business Transformation

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

Senior Project Manager – Agile Delivery & Business Transformation

Senior Data Architect – Customer Domain

Senior Project Manager

Senior Product Manager – Conversational AI

Financial Analyst