Top Tech Jobs & Startup Jobs in Boston, MA

Leads the architecture, development, and operation of Vertex’s enterprise agentic AI platform. Responsibilities include building RAG and knowledge retrieval systems, orchestration services, AI gateways, control towers, governance and guardrails, model routing, FinOps, observability, evaluation frameworks, and lifecycle management. The role defines technical standards and roadmaps, ensures scalability and security, partners across functions, evaluates emerging technologies, and mentors engineers while remaining hands-on.

Leads supply chain analytics and reporting initiatives from requirements gathering through implementation and continuous improvement. Partners with Finance, Quality, Data & Technology, and supply chain stakeholders to define KPIs, govern metrics, resolve data quality issues, and deliver scalable dashboards and reports. Analyzes inventory and supply chain data to identify trends, inefficiencies, and improvement opportunities. Requires strong supply chain planning knowledge, experience with MRP systems, inventory tracking, CMO planning, and cross-functional project leadership.

Build and support secure, scalable Microsoft Azure infrastructure for enterprise, data, and AI applications. Develop CI/CD pipelines, infrastructure-as-code solutions, cloud security controls, deployment automation, monitoring, and observability. Troubleshoot infrastructure and deployment issues, perform root-cause analysis, and partner with engineering, security, architecture, and business teams to improve cloud-native delivery and platform reliability. The role also supports Azure AI and Microsoft Foundry capabilities.

Leads commercial data governance strategy, operating models, policies, standards, ownership, stewardship, metadata, lineage, and data-quality programs. Partners with cross-functional stakeholders to improve data integrity, accessibility, privacy, compliance, and responsible use. Oversees governance councils, catalogs, glossaries, issue remediation, performance metrics, tool adoption, training, and change management across a regulated biotechnology commercial organization.

Leads technology-enabled transformation initiatives across Medical Writing Science, translating business needs into requirements, process designs, implementation plans, testing, and adoption activities. Coordinates stakeholders, milestones, risks, and dependencies while facilitating prototypes, pilots, user acceptance testing, change management, training, and continuous improvement. Evaluates AI, automation, analytics, and digital capabilities to improve scientific and operational workflows.

Leads a portfolio of complex, technology-enabled transformation initiatives within Medical Writing Science. Translates strategic priorities into executable programs, manages dependencies, risks, resources, governance, and trade-offs, and drives implementation, adoption, and value realization. Partners with scientific, business, and technology stakeholders on AI, analytics, automation, and digital workflows while overseeing responsible AI, organizational readiness, change management, and cross-functional team development.

Leads complex technology-enabled transformation initiatives across Medical Writing Science, from business needs and workflow redesign through solution evaluation, implementation, adoption, and optimization. Develops business cases, requirements, success measures, and implementation approaches; evaluates prototypes and pilots; manages risks, dependencies, governance, responsible AI, compliance, and stakeholder alignment. Partners with scientific, business, technology, and change teams to deliver measurable outcomes in a regulated life sciences environment.

Owns the Source-to-Pay data and analytics foundation, including master data, taxonomy, governance, quality, analytics products, automation, and AI readiness. Leads business requirements, operating models, executive dashboards, KPI frameworks, decision-support insights, and cross-functional platform enablement. Partners with Procurement, Finance, Legal, Risk, IT, and enterprise data teams to improve data reliability, controls, reporting, self-service analytics, and scalable automation.

Manages financial planning, budgeting, forecasting, long-range planning, and performance analysis for clinical development functions. Builds financial models, analytics, reporting, scenarios, and business cases to support investment decisions and identify risks and opportunities. Partners with clinical and finance leaders, drives process improvement across the CFO organization, and provides financial insight to guide business decisions.

Leads marketing automation, customer data activation, CDP operations, and OneTrust consent integration. Translates business needs into requirements, user stories, backlogs, and acceptance criteria; prioritizes initiatives; coordinates DTE and vendors; oversees testing, UAT, and launches; and ensures privacy and data-governance compliance. The role optimizes segmentation, journey orchestration, personalization, platform performance, and AI-enabled automation while developing scalable processes and maintaining audit-ready traceability.