SmarterDx

Manager

• Lead and scale SmarterDx’s Integration Support (Tier 2/Tier 3) function, owning reliability and performance across 500+ HL7v2 interfaces and growing, in addition to providing support for FHIR, API, sFTP, and database interfaces.
• Serve as the senior escalation point for high severity production incidents, driving structured triage, root cause analysis, and clear executive level communication.
• Design and operationalize a best in class support model including SLAs, severity frameworks, escalation pathways, change management standards, and formal post incident reviews.
• Establish proactive monitoring, alerting, and interface health frameworks to reduce incident volume and improve response time across all client integrations.
• Partner closely with Implementation groups to ensure clean handoffs from build to production support, including operational readiness reviews and documentation standards.
• Identify recurring failure patterns across client environments, EHR upgrades, and product releases, and translate findings into systemic improvements.
• Mentor and grow a high performing remote team of Integration Support Engineers, fostering ownership, technical depth, and a strong customer service mindset.
• Act as a trusted partner to client IT and interface teams, reinforcing SmarterDx’s reputation as a reliable, enterprise grade integration partner.

Senior Manager, Integration Support

Business Intelligence Analyst

• Design, develop, and maintain advanced reports, dashboards, and metrics using business intelligence tools to track, forecast, and proactively manage the performance and strategic impact of all Customer Success initiatives
• Lead collaboration with Data Engineering, Data Analytics, and Product teams to establish data integrity standards, streamline complex reporting processes, and drive the automation of data extraction and transformation across critical Customer Success data domains
• Present findings and recommendations to Customer Success leadership and other cross-functional teams in a clear, concise, and actionable manner
• Collaborate with data engineering, data analytics, and product teams to ensure data integrity, streamline reporting processes, and automate data extraction where possible
• Focus on data related to the impact of SmarterDx's suite of AI solutions on hospital performance and earned revenue

Senior Reporting Analyst, Customer Success Operations

Solutions Engineer

• Ensure excellence in integration delivery across all new and existing customer deployments, ensuring integrations are reliable, scalable, and delivered on time.
• Recruit, mentor, and lead a rapidly growing, high-performing team of client-facing integration professionals.
• You will foster a culture of accountability, technical excellence, and continuous learning; you’re not intimidated by managing tenured technical resources who bring niche integration expertise even beyond yours - you are excited to empower them.
• Cultivate and maintain integration standards, documentation, and best practices across APIs, HL7, flat file, and database-based integrations.
• Partner with Implementation, Product, and Engineering teams to align integration approaches with product strategy and client timelines.
• Serve as an escalation point for complex or high-risk integrations, providing hands-on technical guidance.
• Collaborate with customer technical teams, including EHR, data, and IT stakeholders, to develop secure and compliant data exchange.
• Establish metrics and reporting for integration performance, throughput, and reliability, and communicate insights to company leadership.
• Continuously improve integration tooling, automation, and processes to support scale as SmarterDx grows.
• Drive technical design reviews, architectural decisions, and technology evaluations to ensure platform scalability and maintainability.
• Establish development standards and best practices including code reviews, testing frameworks, CI/CD pipelines, and documentation standards.

Senior Manager, Integration Engineering

Data Analyst

• Providing data analytics support for the ML and AI models that underpin our core products
• Partnering with machine learning researchers and data science stakeholders to design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results
• Supporting a culture of experimentation to promote faster cycles of iteration, learning, and product improvement
• Build dashboards to monitor the performance, inference, and application of core models.
• Conduct investigations into trends and anomalies in model performance and data drift
• Developing attribution methodology to measure the contribution of deployed models to company KPIs
• Simulate proposed changes to core systems (e.g. recommendation, filtering, etc.) to support the strategic decisions around model development and deployment.

Senior Data Analyst, Data Science & AI Research

• Lead and scale SmarterDx’s solution revenue cycle solution engineering function, ensuring reliable, secure, and scalable technical integrations for revenue cycle integrations from SmarterDx into health system sources (EHRs, coding systems) for our customers while providing white glove service to our health systems.
• Manage highly accomplished, fully remote revenue cycle solution consultants and partner closely with Product, Engineering, Implementation, and Customer Success to deliver seamless solutions across multiple products.
• Ensure excellence in revenue cycle solution delivery across all new and existing customer deployments, ensuring implementations are reliable, scalable, and delivered on time.
• Recruit, mentor, and lead a high-performing team of client-facing revenue cycle solution consultants, fostering a culture of accountability, technical excellence, and continuous learning.
• Cultivate and maintain solution design standards, documentation, and best practices across revenue cycle integrations (including API, HL7, and database extract integrations).
• Serve as an escalation point for complex or high-risk integrations, providing hands-on technical guidance.
• Collaborate with customer technical teams, including EHR, data, and IT stakeholders, to develop secure and compliant data exchange.
• Establish metrics and reporting for integration performance, throughput, and reliability, and communicate insights to company leadership.
• Continuously improve integration tooling, automation, and processes to support scale as SmarterDx grows.
• Drive technical design reviews, architectural decisions, and technology evaluations to ensure platform scalability and maintainability.

Senior Manager, Revenue Cycle Solutions Engineering

• Lead high-value analytics initiatives by identifying opportunities to improve business outcomes and aligning cross-functional teams on shared goals.
• Standardize reporting across internal and external facing tools, pushing for a single source of truth and system of record for client data.
• Prioritize and advocate for analytics work that moves the needle for customers and aligns with strategic company objectives.
• Communicate clearly and regularly with stakeholders to ensure alignment and transparency in analyst-driven work.
• Cultivate a culture of innovation, curiosity, and initiative within the analytics team.
• Mentor and support the career growth of your direct reports through regular feedback and coaching.
• Assess team performance with structured, twice-a-year progress reviews.
• Identify skills gaps or resourcing needs and escalate proactively.
• Champion analytics best practices and provide thought leadership across the organization.
• Establish rigorous testing, validation, and data quality processes; ensure consistency across data in internal and external reporting.
• Oversee the development of metrics, dashboards, reports, and visualizations that drive customer impact.
• Iterate and embrace continuous improvement in analytics methodologies.
• Define and maintain data governance policies to ensure compliance and data integrity.

Business Analytics Manager

Analytics Engineer

• Core Team priorities for 2026:
• Analytics data warehouse v2: Design, implement, and migrate to a new analytics warehouse, owning modeling patterns, layer contracts (Silver, Gold, Semantic), and metric definitions.
• Clear layer ownership: Define interfaces and responsibilities across ingestion, transformation, and analytics to improve velocity and trust.
• Clear role definitions: Within the Core team, identify how the Data Analysts and Analytics Engineers work together on the team’s goals.
• Embedded analytics: Launch Omni for client-facing analytics, establish best practices, and train Product and Business Analysts.
• Production analytics tooling: Specify and integrate tools for data quality, anomaly detection, and monitoring.
• Team growth: Scale the Core Analytics team from 4 to 8.
• Platform scale: Support analytics infrastructure for 10 products (9 net new).

Analytics Engineering Manager

Data Engineer

• Own end-to-end implementation programs spanning multiple teams, clients, and concurrent workstreams, accountable for outcomes, timelines, and cross-functional execution.
• Manage multiple concurrent, interdependent programs with competing priorities, balancing delivery speed, quality, and organizational capacity.
• Build a bridge between Data Engineering, Implementation, Product, and Engineering; clear ownership models, handoffs, and decision-making frameworks
• Act as central program manager for Data Engineering Integrations team, manage processes to drive execution and reduce coordination overhead
• Adapt Agile and project management frameworks to support efficient, high-quality client integrations on fast-paced timelines
• Manage data governance coordination across multiple cross-functional stakeholder groups to ensure data specifications align with product needs

Program Manager, Data Engineering Integrations

Support Engineer

• Serve as a primary, client-facing point of contact for end users, independently managing inquiries across live-video, email, and chat with a focus on resolution quality, timeliness, and client experience—not just response speed
• Exercise sound prioritization judgement when managing multiple concurrent issues, balancing client impact, urgency, and internal discrepancies
• Communicate clearly and confidently with end users during active investigations, setting expectations, and providing updates without over-promising or defaulting to escalation language
• Build and sustain strong, consultative relationships with end users by developing a working knowledge of their workflows, constraints, and priorities, and applying that context to support interactions
• Independently investigate and diagnose complex application issues by distinguishing user behavior, workflow gaps, configuration issues, and system-level defects - leveraging documentation, internal tools, and cross-functional partners early to validate hypotheses and drive timely resolution
• Determine when escalation is warranted and own escalations end-to-end, including synthesizing context, articulating impact, and partnering with internal teams to drive resolution
• Maintain deep understanding of product capabilities, updates, and known limitations, and proactively apply product knowledge to anticipate user questions, prevent issues, and improve support outcomes
• Contribute to shared knowledge and process improvement by documenting learnings, updating internal resources, and refining troubleshooting approaches.