Top Hybrid Senior Level Jobs in Boston, MA

Directs strategic PMO services across managed-services portfolios, overseeing project prioritization, governance, resource allocation, transformation delivery, executive reporting, client relationships, business development, process improvement, and leadership development. The role manages complex programs, drives technology-enabled delivery practices, coaches project leaders, and aligns portfolio outcomes with organizational goals and professional standards.

Leads federal mergers and acquisitions tax engagements involving tax due diligence, transaction structuring, financial analysis, modeling, restructuring, bankruptcy, and insolvency. Manages major projects, advises senior clients, interprets complex tax regulations, develops strategic solutions, maintains operational excellence, and mentors diverse teams. Builds client relationships, supports IRS submissions, drives process innovation, and represents the firm in professional and community settings.

Leads project portfolio management for tax delivery initiatives, overseeing prioritization, governance, schedules, budgets, dependencies, risks, and stakeholder communication. Applies Agile, Kanban, and Scrum methods to technology and process improvement projects. Analyzes workflows, standardizes processes, tracks issues, provides executive updates, and coaches teams through complex delivery challenges while aligning outcomes with client and business needs.

The Revenue Chief of Staff partners with the CRO, CCO, and sales leadership to drive GTM initiatives, manage operating rhythms, coordinate executive meetings, track OKRs and commitments, oversee communication and accountability, and manage sales budgets and events. The role serves as a strategic and operational partner, supporting planning, process implementation, cross-functional collaboration, and execution across the revenue organization.

Leads business development and account ownership for Mastercard Services within financial institution segments. Develops client relationships, identifies needs, leads pitches, assembles solution teams, coordinates delivery, manages pricing and margins, and drives deal workflows through Salesforce. Represents Mastercard to senior stakeholders and supports revenue growth while collaborating across marketing, product, solutions, and delivery teams.

Develops, tests, evaluates, and deploys machine learning models using established architectures and frameworks. Supports feature engineering, data preprocessing, automated training and monitoring pipelines, and production AI integration. Collaborates with engineering and product teams on AI requirements, researches methods to improve model performance, and supports urgent IT incidents. The role requires strong Python and machine learning experience, knowledge of deep learning and generative AI, and advanced quantitative education.

Performs data analysis, cleans and validates data, identifies trends and anomalies, builds dashboards and reports, and supports KPI development. Collaborates with engineers and business stakeholders to improve data quality, pipelines, reporting requirements, and analytical processes. Leads data-driven change management, communicates insights, shares best practices, and may support urgent IT incidents.

Develop, test, deploy, and serve machine learning models and agentic AI capabilities. Build feature engineering, experimentation, training, monitoring, and REST-based model-serving workflows. Collaborate with data science, engineering, product, and MLOps teams to productionize AI solutions at enterprise scale using distributed computing, Databricks, cloud platforms, and containerized infrastructure. Support model performance improvements, generative AI initiatives, and urgent IT escalations.

Own revenue accounting for subscription, usage-based, and professional services contracts under ASC 606. Responsibilities include revenue recognition, close activities, deferred revenue reconciliations, contract review, commissions accounting, audit support, controls, process improvement, and system data integrity across HubSpot and Rillet. Partner with Sales, RevOps, Legal, and Finance to support complex deals and maintain an audit-ready revenue function.

Lead credit analysis and portfolio management for technology and high-growth borrowers. Structure and document transactions, perform due diligence and financial modeling, negotiate terms, manage renewals/amendments, partner with bankers and legal, mentor junior staff, and ensure credit policy adherence while balancing risk and execution timelines.

Build AI-powered applications for enterprise customers using Generative AI, LLMs, MongoDB, and modern software architectures. Responsibilities include refactoring applications, migrating legacy databases, optimizing performance, developing microservices and intelligent automation, supporting AI adoption, and influencing product strategy. The role collaborates with engineering, product, and customer teams to deliver scalable solutions and requires substantial enterprise software engineering experience.

Leads the design, automation, and implementation of Ethics & Compliance processes, especially anti-bribery and anti-corruption and export compliance controls. Partners with subject matter experts and technical teams to translate compliance requirements into scalable ServiceNow and AI-enabled workflows. Owns multi-year roadmaps, cross-functional program delivery, process optimization, stakeholder communication, and continuous improvement.

Serves as primary legal advisor to product development and R&D teams. Drafts and negotiates technology, SaaS, licensing, research, data-sharing, and commercial agreements; advises on intellectual property, privacy, security, regulatory compliance, product claims, confidentiality, and emerging AI risks. Partners with technical, scientific, marketing, and security stakeholders to enable responsible innovation and protect proprietary technology and research.

Build and scale core ML platform infrastructure for model training, deployment, feature storage, real-time retrieval, inference, and monitoring. Lead architecture and technical execution, write production backend code, conduct design and code reviews, mentor engineers, improve reliability and cost efficiency, and partner with ML, product, data science, infrastructure, and security teams on platform strategy and roadmap.