Top Tech Jobs & Startup Jobs in Boston, MA

Supports data and information privacy activities within a healthcare revenue cycle technology organization. The posting provides limited role-specific responsibilities or qualifications, but the position likely contributes to privacy compliance, data protection, and risk management initiatives.

Leads enterprise payroll strategy and operations for a complex, multi-state workforce. Oversees payroll governance, compliance, tax operations, SOX controls, audits, risk management, Workday modernization, automation, vendor partnerships, and transformation initiatives. Builds high-performing teams, advises executive stakeholders, and supports mergers, restructuring, geographic expansion, and shared-services evolution while ensuring accurate, scalable, and compliant payroll delivery.

Leads enterprise platform infrastructure strategy, modernization, cloud enablement, infrastructure as code, automation, SRE, observability, DevOps tooling, and service reliability. Owns technology budgets, cost optimization, investment prioritization, KPIs, and value realization. Builds and leads global engineering and operations teams of more than 50 associates while partnering with executive stakeholders across technology, cybersecurity, finance, procurement, and business functions.

Leads enterprise FP&A, including budgeting, forecasting, long-term planning, financial consolidation, P&L and cash flow reporting, variance analysis, and management reporting. Partners with finance and business leaders to deliver strategic insights, improve financial systems and data integrity, and automate reporting and analysis. Communicates financial results to senior leadership and supports data-driven decision-making across the organization.

Leads strategy, planning, and execution of customer EMR integrations for PhareOS. Oversees end-to-end data delivery, integration quality, process standardization, tooling, vendors, and platform enhancements. Builds and scales the data integration team, manages resources and senior client stakeholders, and drives innovation across integration methods and operating models. Requires extensive healthcare data integration leadership, HL7/FHIR and interface engine expertise, SQL proficiency, and strong program management skills.

Drive budgeting, forecasting, and reforecasting activities; maintain financial models, headcount tracking, and planning files; support month-end close and variance resolution; track labor CAPEX, vendor spend, and accruals; prepare executive financial review materials; and provide business-case and ad hoc analysis to leadership. The role requires advanced Excel skills, strong FP&A fundamentals, and coordination across stakeholders and cost centers.

Designs, facilitates, and evaluates leadership, career, and development programs. Provides coaching using 360-degree assessments, partners with HR and business leaders to identify talent needs, manages vendors and budgets, and measures program impact through business results, retention, talent pipeline health, and behavior change.

Leads healthcare revenue-cycle consulting engagements focused on mid-cycle medical coding. Assesses current-state processes, develops future-state workflows, translates requirements into implementation plans, provides coding guidance, designs training and change-management strategies, and establishes KPI and SLA monitoring. Partners with executives, operational teams, process engineers, and clients to optimize coding workflows using AI and implement sustainable process improvements.

Designs, builds, and evaluates agentic AI systems for healthcare workflows such as documentation, coding, denial management, and revenue cycle automation. Develops long-horizon agent behavior, evaluation frameworks, benchmarks, feedback loops, monitoring, and production safeguards. Partners with research, ML engineering, clinical, product, and engineering teams to prototype and deploy reliable, explainable, auditable AI systems using LLMs, machine learning, and agentic technologies.

Build and deploy scalable AI/ML systems for retrieval, ranking, categorization, triage, and generative AI across healthcare data. Own solutions end-to-end from problem framing and model selection through production deployment and optimization. Collaborate with software engineers, product managers, clinicians, and operations teams to translate complex business problems into explainable, maintainable systems with measurable outcomes.