Top Tech Jobs & Startup Jobs in Boston, MA

Lead the enterprise data governance program, roadmap, operating model, policies, standards, governance bodies, and owner/steward accountability. Build data domains, taxonomies, contracts, lineage, metadata, and audit controls across complex multi-brand platforms. Partner with Technology, Legal, Privacy, Security, Risk, Compliance, and business leaders to ensure trustworthy data for analytics and AI. Manage governance leads and communicate strategy, risks, and recommendations to senior executives and auditors.

Drive new business growth for Amex GBT’s Experience Studio and Sports divisions in the US. Identify and convert prospects, sell event, sports, travel, logistics, creative, and production services, and build senior stakeholder relationships. Lead RFI and RFP responses, pricing, negotiations, proposals, presentations, and contracting while collaborating on cross-selling opportunities and representing the company in industry communities.

Leads organizational change for an ERP and technology transformation across multiple locations. Develops technical training, learning strategies, communications, change-readiness activities, standards, and best practices. Partners with technology owners, solution architects, business leaders, and site stakeholders to drive adoption, evaluate program effectiveness, and improve outcomes. Requires strong change management, technical communication, business acumen, and ERP knowledge.

Supports organizational change during an ERP transformation by coordinating training, communications, change-readiness activities, stakeholder materials, and user feedback. Develops and updates training content, job aids, curricula, and documentation in collaboration with trainers, instructional designers, business subject matter experts, IT, ERP teams, and vendors. Analyzes training completion, assessment, and adoption metrics to identify barriers, assess program effectiveness, and improve future learning programs. Significant travel is required.

Own the product roadmap, prioritize high-impact initiatives, engage customers, validate hypotheses, and shape solutions with engineering and design teams. Drive technically complex products and APIs, use data and analytics to guide decisions, and lead cross-functional delivery. Identify organizational and process improvements, support product marketing and customer adoption, and operate autonomously in a fast-growing B2B SaaS environment.

Develop and enhance Oracle EBS asset and financial modules, including Projects, Fixed Assets, Inventory, and General Ledger. Build integrations, RICE-FW interfaces, conversions, reports, and capitalization automation across Oracle EBS, Fusion Cloud ERP, and external logistics systems. Support testing, reconciliation, audit traceability, troubleshooting, technical documentation, and collaboration with functional SMEs in Agile environments.

Lead enterprise systems engineering and integration for Oracle EBS and Oracle Fusion Cloud ERP finance, accounting, and asset lifecycle solutions. Design roadmaps, data models, interfaces, capitalization automation, and integration architectures across Oracle and logistics systems. Ensure USSGL, A2R, auditability, DoD standards, and financial traceability. Guide development, integration testing, performance validation, reconciliation, and audit readiness while supporting Agile, SAFe, and DevSecOps adoption.

Configures and validates benefits administration systems according to requirements documentation. Reviews raw materials, completes system builds and self-QA, supports enrollment and implementation workflows, maintains process documentation, tracks productivity, prioritizes tasks, resolves escalated issues, and collaborates with internal teams. The role requires benefits administration configuration experience, strong data analysis and spreadsheet skills, attention to detail, requirements gathering, process-flow knowledge, and the ability to manage multiple priorities.

Provides FP&A and accounting support through budgeting, forecasting, variance analysis, reconciliations, margin analysis, sales incentive planning, KPI dashboards, financial modeling, and monthly reporting. Partners with finance, sales, marketing, and commercial teams to evaluate business opportunities, improve reporting processes, automate workflows, and identify opportunities to reduce expenses and increase profitability.

Lead the full Computer Backup engineering organization across desktop and backend teams. Set technical direction, architecture, delivery strategy, roadmap priorities, budget, and engineering quality standards. Manage managers and distributed teams while participating in architecture reviews, code reviews, and technical problem-solving. Ensure reliability, performance, testing, and maintainability, improve agile processes and productivity, and promote AI-assisted development practices. Partner with product and senior leadership on scope, risks, trade-offs, customers, and long-term organizational decisions.

Owns client invoicing, accounts receivable, collections, revenue recognition, deferred revenue, and ASC 606 compliance for a SaaS organization. Responsibilities include contract review, month-end close, audit support, acquisition integration, forecasting, process improvement, and NetSuite optimization. Provides technical guidance and work direction to accounting team members without direct supervisory responsibility.

Leads performance measurement, quality improvement, strategic planning support, business process analysis, and organizational reporting for a public health department. Develops dashboards and visualizations, validates and analyzes performance data, tracks improvement initiatives, documents workflows, and recommends operational enhancements. Collaborates with data stewards, leadership, program teams, and external partners while supporting Lean and continuous improvement efforts, knowledge management, communications, and reporting infrastructure.

Lead the development, optimization, and production deployment of advanced machine learning algorithms for advertising effectiveness and ROI. Build scalable ML models, write efficient code, collaborate with machine learning engineers, prototype and test algorithms and data pipelines, and drive iterative improvements using historical data and rigorous performance analysis.