Top AI Jobs in Boston, MA

The Reports Analyst prepares ad hoc and scheduled reports, responds to data requests, analyzes trends, and provides recommendations to business management. Responsibilities include researching and downloading data, creating presentations and exhibits, manipulating spreadsheet and database data, maintaining databases, and ensuring data integrity and accurate reporting. The role requires advanced Excel skills, reporting and data analysis experience, strong communication, and effective use of AI tools.

Leads pricing and revenue data science initiatives for consumer markets clients. Develops predictive models, forecasts trends and customer behavior, manages dashboards and visualizations, ensures data quality, and translates complex analytics into strategic decisions. Oversees client engagements, validates outcomes, directs complex projects, and coaches diverse, high-performing teams.

Leads Dropbox’s global Revenue and Marketing Operations strategy across SMB, Mid-Market, and Enterprise segments. Owns revenue planning, forecasting, segmentation, territories, quotas, incentives, GTM systems, analytics, pipeline management, and operational cadence across the customer lifecycle. Partners with executive leadership, Finance, Sales, Marketing, Product, and Customer teams to drive predictable growth, AI adoption, productivity, and transformation while building a high-performing Revenue Operations organization.

Leads the Operations Strategy enablement roadmap and manages complex, cross-functional initiatives from business-case development through implementation, adoption, and measurable impact. Identifies scalable tools, technologies, automation, and operating practices across operational functions. Partners with Product, Technology, Analytics, Risk, Compliance, and Operations to define requirements, establish governance, manage dependencies, measure results, and provide recommendations to senior leadership.

Leads complex, cross-functional initiatives from strategy through execution, setting direction, sequencing work, resolving ambiguity, and making tradeoffs. Builds repeatable operating models, improves program management methods, coaches stakeholders, drives AI and automation adoption, and partners with Business Operations leadership on initiative health, reporting, and planning.

The Senior Accountant oversees monthly, quarterly, and annual close processes; prepares financial statements, audit schedules, and reports; researches accounting policies; maintains internal controls; identifies financial-system issues; and drives process improvements. The role may review teammates’ work, support treasury projects, train colleagues, and provide performance feedback while communicating with management and coordinating department initiatives.

Leads the strategy, technical direction, and delivery of insurance data science across pricing, underwriting, cost modeling, demand modeling, and growth. Oversees predictive modeling standards, model lifecycle governance, engineering collaboration, regulatory alignment, and production deployment. Builds and develops a high-performing data science organization while partnering with actuarial, product, underwriting, pricing, and executive leadership to connect analytical work with profitability and business outcomes.

Leads strategic advisory and analytics initiatives for banking and capital markets clients. Designs and configures Fenergo solutions, translates business and regulatory requirements, develops data visualization and analytics solutions, and guides teams through complex projects. Builds stakeholder relationships, validates outcomes, promotes process improvement, and coaches diverse teams. Requires at least seven years of experience and a bachelor's degree.

Leads customer analytics and strategy consulting initiatives that improve customer experiences, loyalty, and business growth. Responsibilities include analyzing customer touchpoints, designing journey maps, developing customer-centric solutions, overseeing multiple projects, managing executive client relationships, driving business development, mentoring leaders, promoting AI-human collaboration, and developing thought leadership across the PwC Network.

Leads AI modeling and data analytics strategies for AML and sanctions clients in banking and capital markets. Oversees multiple projects, develops strategic solutions, supports business development, maintains executive client relationships, and mentors teams. Responsibilities include improving data quality and architecture, validating analytics integrity and compliance, promoting AI-human collaboration, driving thought leadership, and converting market opportunities into business outcomes.

Implements and configures Oracle HCM Cloud solutions for clients, including Absence Management, Benefits Administration, and Talent Management. Analyzes HR processes and workforce data, develops BI Publisher reports, supports HR transformation and change initiatives, and advises on strategic workforce planning. The role also involves client relationship management, business process improvement, AI and digital tool integration, mentoring junior consultants, and delivering high-quality enterprise technology solutions.

Own the full enterprise SaaS sales cycle, from prospecting and executive engagement through closing six- and seven-figure deals. Build account strategies, develop pipeline, and advise procurement, supply chain, sustainability, and compliance leaders. Apply supply chain consulting expertise to map customer challenges to Altana’s AI-powered platform. Partner with sales engineers on demonstrations and collaborate with account management and implementation teams to support successful handoffs and account growth.

Manage delivery of a portfolio of AI and data science projects from planning through implementation. Coordinate technical and non-technical teams, dependencies, requirements, budgets, timelines, and stakeholder expectations. Lead Agile ceremonies, drive accountability, translate AI capabilities into actionable requirements, and proactively identify and mitigate risks across complex, concurrent initiatives.

Leads an eLearning team developing, maintaining, and optimizing self-paced digital learning content for a clinical data platform. Owns content strategy, roadmaps, production workflows, quality standards, analytics, accessibility, and learning outcomes. Collaborates with subject matter experts, product teams, stakeholders, and external partners to translate complex concepts into effective training. Uses AI and emerging technologies to improve development and personalization, while mentoring team members and incorporating learner feedback.

Leads Unanet’s internal data strategy and architecture for enterprise AI. Defines the shared data foundation, target architecture, governance standards, roadmap, and reusable approaches for AI assistants, agents, and workflows. Evaluates platforms and integration options, validates technical solutions, and coordinates IT, Security, Legal, Engineering, business owners, and system specialists. Advises senior leaders, establishes data quality and stewardship requirements, and helps determine when data is ready to support scalable AI initiatives.

Leads enterprise workforce transformation as AI reshapes work. Owns productivity measurement, workforce planning, job architecture, role redesign, future-skills development, AI fluency, and responsible AI governance. Partners with the CPO, AI leaders, Legal, Compliance, IT, and functional executives to anticipate workforce needs, guide automation and upskilling decisions, build predictive workforce insights, and drive adoption across the organization.

Leads Liberty Mutual’s global Finance Technology strategy, transformation, execution, and organization across finance platforms, data, AI, architecture, security, and resilient operations. Oversees approximately 220 employees, 300 contractors, and a $200 million annual investment portfolio. Partners with CFO leadership, manages vendors and enterprise platforms, drives modernization across accounting, treasury, tax, reinsurance, risk, and actuarial systems, and develops a high-performing technology organization through sustained transformation.

Leads AI and data-driven solutions for AML and sanctions clients in banking and capital markets. Responsibilities include developing AI solutions with Python, managing data architecture and pipelines, overseeing analytics and visualization deployments, guiding advanced analytics teams, engaging stakeholders, validating client outcomes, improving processes, and coaching diverse teams through complex situations.

Leads the East enterprise sales team, driving quota attainment, account-based execution, forecasting discipline, win-rate improvement, and complex deal strategy. Manages, coaches, and performance-manages Account Executives while developing scalable sales processes and enterprise go-to-market motions. Partners cross-functionally with Marketing, Product, RevOps, Enablement, Solutions Engineering, Legal, and Customer Success to improve deal velocity, customer engagement, and segment performance.

Entry-level technology program participants complete a six-month training and development experience before joining an engineering team. They build, test, and debug software, contribute to agile projects, practice code quality and security, learn modern architecture, and use AI-assisted development tools. The program emphasizes mentorship, collaboration, continuous learning, systems thinking, and delivering customer-focused software solutions.

Lead Corptax US Compliance and Provision implementations for domestic and international tax clients. Translate tax processes into scalable configurations, data models, and workflows; manage project plans, risks, milestones, and communications. Improve data quality through mapping, transformations, validation, controls, automation, and responsible AI use. Identify recurring client patterns and contribute to implementation accelerators while partnering with Product, Engineering, and Services teams. Support client reporting cycles and maintain stakeholder alignment for timely, high-quality delivery.

Create technical content, videos, demos, presentations, and product walkthroughs showcasing GitLab’s DevSecOps and AI agent capabilities. Engage developers, customers, sales teams, and online communities through webinars, events, forums, Discord, and social platforms. Answer technical questions, deliver analyst briefings, research the developer tools landscape, test new features, and provide product feedback. The role is remote, supports U.S. and Canadian time zones, and requires up to 20% travel.

Generate qualified sales pipeline through outbound prospecting, inbound lead follow-up, personalized email, phone, and LinkedIn outreach. Research healthcare provider accounts, identify stakeholders, conduct discovery and qualification calls, maintain CRM data, and partner with Account Executives. The role also helps develop outbound playbooks, improve AI-driven campaigns, follow up after events, and establish scalable SDR processes.

Lead agile design and development projects for mobile apps and digital products. Coordinate product, design, engineering, marketing, leadership, and client stakeholders; manage project plans, scope, requirements, backlogs, acceptance criteria, deadlines, workflows, and deliverables. Support scoping and client relationship management while ensuring successful end-to-end software launches and alignment with business objectives.

Develop AI and data analytics solutions for AML and sanctions clients within PwC’s Risk & Regulatory practice. Responsibilities include Python-based data analysis, designing data architectures and pipelines, creating dashboards, interpreting complex datasets, engaging stakeholders, and delivering actionable insights and tailored client solutions. The role also involves client relationship building, problem-solving, continuous improvement, and contributing to strategic business outcomes.