Top Tech Jobs & Startup Jobs in Boston, MA

Lead development and deployment of predictive and ML models for credit risk, collections, and operations. Mentor data scientists, promote MLOps and modern tools, present insights to stakeholders, and drive experimentation with techniques such as causal inference and GenAI.

Leads the Platform Services organization, managing teams that build internal developer tooling, shared engineering services, golden-path templates, development environments, and AI-assisted development capabilities. Owns platform strategy, service reliability, security, adoption, productivity measurement, and consolidation of duplicated services. Partners with infrastructure and delivery teams, manages budgets and roadmaps, recruits and develops engineering leaders, and drives organizational change and engineering excellence.

Leads the vision, architecture, strategy, and execution of enterprise data platforms supporting scalable analytics and AI initiatives. Oversees modern data technologies, production reliability, FinOps, governance, architecture standards, and cross-functional delivery. Builds and mentors engineering teams, communicates with executives, evaluates third-party technologies, resolves critical production issues, and drives continuous improvement. The role is remote with occasional planned travel to the Southfield, Michigan office.

Leads and mentors cross-functional engineering teams building and operating distributed, API-driven, cloud-native platforms. Owns technical strategy, architecture, delivery outcomes, engineering excellence, operational reliability, and API lifecycle governance. Drives Agile, DevOps, cloud migration, observability, and incident management practices. Establishes responsible AI adoption across software development and guides delivery of AI-enabled products, including agentic solutions, with appropriate evaluation and controls.

Leads investor relations strategy, investment-thesis development, earnings communications, investor presentations, and debt capital markets support. Partners with finance, legal, marketing, operations, and executives to ensure accurate external disclosures. Provides market intelligence, investor feedback, valuation insights, and strategic recommendations to leadership while managing relationships with investors, analysts, lenders, and rating agencies. The role also improves reporting and stakeholder engagement through technology, automation, and analytics.

Leads operating expense budgeting, financial planning, variance analysis, spending governance, and executive financial reporting. Partners with senior leaders to evaluate investments, improve resource allocation, and support profitability goals. Manages budget processes and tools while coaching direct reports and providing strategic financial guidance across the business.

Designs and builds scalable, reliable, observable batch and streaming data pipelines and models. Partners with stakeholders on data integration, validates data quality, writes tests, participates in code reviews, documents solutions, troubleshoots production issues, and aligns technical work with business needs. The role requires strong programming, database, data modeling, governance, and Databricks knowledge, with preferred experience in Spark, AWS data services, CI/CD, testing, orchestration, and transformation frameworks.

Define and execute predictive modeling and ML strategy for credit risk, servicing, and collections. Lead cross-functional initiatives, oversee model development, deployment, and monitoring, advise senior leadership on data strategy, represent analytics in regulatory and audit forums, and mentor peers while fostering organizational partnerships.

Lead and execute ML/AI strategy, design and deploy production-grade ML and GenAI solutions, mentor MLEs, collaborate with cross-functional teams, and build scalable, secure ML/LLM platforms and inference pipelines to drive business impact.

Owns the technical strategy, roadmap, requirements, and delivery of scalable data solutions. Partners with business, product, design, and engineering teams to prioritize high-impact features, assess vendors, guide architecture, incorporate AI strategies, and resolve technical issues. The role requires strong BI and data warehouse expertise, technical leadership, stakeholder communication, agile product development, customer delivery support, and mentoring responsibilities.