Top Hybrid Senior Level Jobs in Boston, MA

Lead client-facing SAP master data governance engagements, including strategy, operating model design, data quality, SAP MDG configuration, migration, solution implementation, and process alignment. Direct workstreams across finance, customer, and supply chain functions; translate business requirements into SAP solutions; manage stakeholders and delivery priorities; analyze governance risks and reporting needs; and coach teams through complex transformation programs.

Lead client engagements to analyze, implement, and support core banking and business application solutions. Provide training, deliver operational efficiency improvements, produce data-driven recommendations, manage and mentor team members, navigate complex banking environments, and uphold professional and technical standards to achieve client strategic objectives.

Leads SAP S/4HANA migration architecture and complex finance technology transformations. Designs target-state SAP landscapes, guides installation and platform administration, evaluates integrations, advises on migration sequencing and data architecture, resolves program issues, and communicates recommendations to client leadership. Coaches technical teams and helps clients modernize ERP processes while aligning architecture decisions with business objectives.

Leads full-stack engineering teams, technology portfolios, and large-scale cloud-native initiatives. Responsibilities include setting technical strategy, mentoring engineering leaders, guiding architectural decisions, managing roadmaps and investment priorities, delivering distributed systems, and aligning engineering execution with enterprise goals. The role involves collaboration with product and platform leaders, oversight of Agile programs, succession planning, and occasional coding or code evaluation using modern cloud, database, container, and programming technologies.

Lead security across data, cloud, applications, corporate systems, and AI platforms. Manage incident response, security monitoring, vulnerability management, automation, governance, regulated-data controls, vendor relationships, budget, and the security roadmap. Build and manage a security engineering team, partner with engineering and infrastructure teams, conduct control testing and tabletop exercises, support audit readiness, and report security posture and risks to leadership.

Build and maintain production forecasting models for recognized revenue and COGS, connecting product usage, pricing, infrastructure costs, and unit economics. Partner with Finance, Product, Engineering, Data Science, and Go-to-Market teams on planning, scenario analysis, variance investigations, and model governance. Establish forecasting standards, monitor accuracy and drift, develop scalable data foundations, and communicate insights to technical stakeholders and executives.

Manage strategic relationships with GSI partners including KPMG and DXC. Develop joint go-to-market plans, coordinate sales, marketing, enablement, services, and partner programs, drive opportunity registration and forecasting, support deal execution, manage contracts and MDF, conduct business reviews, and serve as an escalation point. The role requires strong cybersecurity solution knowledge, executive partner relationships, channel sales experience, and a proven record of quota achievement.

Manage strategic global systems integrator partnerships with Infosys, HCL, and TCS. Develop joint go-to-market, business, marketing, enablement, and partner program plans; coordinate sales alignment, deal registration, forecasting, services, and executive relationships. Drive partner visibility, pipeline, events, training, compliance, and issue resolution while collaborating with ServiceNow, sales, marketing, services, and regional teams to expand cybersecurity solution adoption.

Analyze operational, customer survey, qualitative, and unconventional data to identify retention drivers and customer pain points. Synthesize findings into actionable recommendations, improve reporting, provide operational consulting, and present insights to senior leaders. The role requires advanced statistical and analytical skills, strong SQL and Snowflake capabilities, familiarity with Python and Cortex, and effective cross-functional communication.

Leads global risk assessment, financial controls, audit remediation, account reconciliation, attestation programs, and external partner controls audits. Partners with underwriting, claims, compliance, finance, auditors, and international stakeholders to resolve findings and strengthen the control environment. Uses GenAI to streamline analysis and create repeatable workflows while coaching team members across time zones.

Own the vision, roadmap, backlog, and priorities for an AI-enabled Connected Insights product supporting independent agents and employees. Translate strategy, research, and data into measurable outcomes; prioritize personalized insights and next-best actions; partner with product, engineering, data science, UX, marketing, and business teams; conduct experimentation; define success measures; and align stakeholders through trade-offs and ambiguity.

Lead AI product development from ideation through launch and scale. Partner with insurance carriers to identify communication challenges, test AI solutions, define strategy, establish trust, and manage success metrics and pricing insights. Coordinate engineering, design, Customer Success, Support, Sales, and Marketing to drive adoption. The role requires building generative AI products, ideally conversational agents, in a hybrid Boston-based environment.

Lead Counsel will provide strategic and practical legal guidance to Takeda’s Foundational Therapeutics Business Unit, advising commercial, medical, marketing, sales, R&D, and cross-functional teams on pharmaceutical development and commercialization. Responsibilities include assessing legal and regulatory risks, advising on advertising, promotion, labeling, product approval, healthcare professional interactions, and patient programs, coordinating global legal support, and translating complex requirements into actionable business strategies.

Provides high-level administrative and strategic support to a VP or senior leadership team. Responsibilities include managing complex calendars and travel, preparing communications and presentations, coordinating meetings and events, handling expenses and invoices, supporting talent and onboarding activities, managing stakeholders, optimizing administrative processes, and contributing to research-wide initiatives. Requires discretion, strong organization, business acumen, proactive problem-solving, and the ability to work independently in a matrixed organization.

Provides high-level administrative and operational support to two global R&D and regulatory affairs executives. Responsibilities include complex calendar and meeting management, international travel coordination, leadership-team support, event logistics, expenses, procurement, onboarding, document management, confidential information handling, and process improvement across a global, matrixed organization.

Leads the architecture and evolution of DraftKings’ machine learning platform, including real-time data pipelines, lakehouse governance, distributed data systems, and scalable ML serving infrastructure. Establishes engineering standards, drives complex initiatives, oversees reliability and cloud cost optimization, and partners across engineering and data teams. The role also mentors engineers, advances automation, supports incident response, and applies AI-assisted development practices.

Optimize creative production workflows and marketing technology platforms from intake through delivery. Build templates, automations, AI prompts, documentation, metadata standards, and quality controls. Identify bottlenecks, test new technologies, and improve collaboration across creative, marketing, analytics, legal, and technical teams. Apply AI and automation responsibly to reduce manual effort, increase consistency, and support scalable marketing operations.

Lead quality engineering for Health Records by defining test strategy, automating validation across APIs, databases, pipelines, and FHIR data, and monitoring data-quality regressions. Build reusable data-mocking frameworks for internal and third-party integrations, lead technical initiatives, ensure HIPAA-compliant PHI-safe testing, improve observability and testability, and mentor engineers across teams.