Top Hybrid Senior Level Jobs in Boston, MA

Lead GRS Data & Analytics technology for business insights: own executive reporting, build shared BI/MI capabilities, drive MDM adoption, ensure trusted scalable reporting, and lead a cross-functional insights team to embed analytics into business routines.

Manage and evolve a cloud-first end-user services team: deliver reliable support, enforce SLAs, oversee lifecycle of end-user technologies, manage vendors, report on performance, and liaise with stakeholders while mentoring staff.

Lead capital improvement projects across WHOOP's global leased facility portfolio from planning through closeout. Own project schedules and budgets, manage architects/contractors/vendors, approve submittals and change orders, partner with stakeholders, and support facility maintenance to improve operational efficiency and employee experience.

Lead lifecycle marketing campaign operations, ensuring high-quality delivery across channels, managing a team, and employing AI for efficiency.

Design, build, and scale ML platform components including training pipelines, serving, feature stores, and monitoring. Lead projects from design to deployment, improve system reliability and observability, mentor engineers, and collaborate with data science and infrastructure teams to enable reproducible production ML workflows.

The Assistant General Counsel provides legal counsel on technology and AI issues, guiding senior technology executives, managing risks, and supporting complex legal challenges in technology modernization and compliance.

Lead governance and evolution of Datadog's internal knowledge ecosystem: define documentation standards, metadata/tagging, lifecycle management, and stakeholder council; partner with IT on internal AI/search sourcing; create training, playbooks, and enablement to keep information clean, current, and AI-ready.

Partner with Field and Product teams to design and implement LLM observability architectures, build proofs-of-concept, produce technical collateral, and advise customers to drive adoption and product feedback.

Lead end-to-end analytics for Veterinary Diet, Science Diet, and Health & Wellness businesses. Build self-service dashboards, define KPIs, run deep-dive analyses, partner with technical and category teams, and deliver insights that improve customer experience and financial P&L.

The Staff Robotics Software Engineer will lead the development of robotic systems and AI algorithms, mentor junior engineers, and guide cross-functional teams.

Lead and mentor a product design team while developing design strategies and overseeing the design lifecycle for Chewy Vet Care's digital products and services.

Lead onboarding product strategy and roadmap, partner with TA, Engineering, and HR COEs to design scalable onboarding solutions, drive integrations with Workday and HR tech, set success metrics, and coach product analysts to improve onboarding velocity and new-hire productivity.

Lead end-to-end talent attraction and recruiting product strategy, roadmap, and governance. Drive integrations with Workday and HR tech, define success metrics, build reusable product components, and partner with TA, Engineering, and HR COEs to improve hiring velocity, reduce risk, and deliver a unified hire-to-onboard experience. Coach product analysts and influence cross-functional and executive stakeholders.

Lead enterprise-level program engagements delivering payments, security, and loyalty implementations. Manage project portfolios from initiation through benefit realization, mitigate risks, drive client relationships, coach teams, identify new business, and deliver measurable client value using project and change management methodologies.

The Senior Robotics Engineer will develop and maintain localization algorithms, collaborate with teams, and utilize data for functionality proofing. This role requires strong communication skills and teamwork.

The Advanced Analytics Manager will drive growth at ZS by applying technical expertise to drug discovery, managing projects, and building client relationships.

Lead and support process design and optimization projects in pharmaceutical manufacturing, utilizing data analysis to improve safety, efficiency, and product quality.

As a Data Office Manager, manage data strategy in the healthcare landscape, collaborate with teams and stakeholders, and oversee project management while leading a diverse team.