Top Hybrid Senior Level Data & Analytics Jobs in Boston, MA

Develops business intelligence and analytical solutions for the CPM organization. Responsibilities include consolidating data from disparate sources, writing SQL queries, creating tools, developing and supporting Power BI dashboards, gathering stakeholder requirements, preparing management reports, supporting regulatory filings, and producing KPI reports.

Designs, builds, tests, and supports enterprise data pipelines for acquired-company system integration and Snowflake archival. Translates business and technical requirements into mappings, transformations, quality controls, monitoring, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams to deliver governed, reusable data solutions. Supports migration, cutover, validation, documentation, hypercare, and operational handoff while improving automation, performance, cost efficiency, and data observability.

Manages marketing technology, CRM data analytics, AI-enabled data enrichment, and data quality initiatives. Develops governance guardrails, standards, controls, and processes to maintain accurate data. Analyzes marketing and business development information to identify revenue and operational efficiency opportunities, creates recurring reports, collaborates with vendors and internal stakeholders, and implements tools that support strategic decision-making and demand generation.

Own client-facing data services projects for private markets and financial services clients. Responsibilities include onboarding clients, structuring data from multiple sources, managing data collection, preparing status reports, creating customized dashboards and reporting templates, handling client requests, supporting new product launches, and mentoring Associates. The role requires strong Excel and Microsoft Office skills, client service, communication, organization, and attention to detail.

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.

Lead supply chain analytics initiatives by translating business needs into functional requirements, partnering with engineering and analytics teams to design, deliver, and support Databricks/Power BI-based data products across the SDLC, improving forecasting, transportation, replenishment, and customer service.

Build PFA’s data organization and own its data platform, architecture, pipelines, integrations, schemas, and data-quality processes. Develop predictive analytics, AI-enabled workflows, reporting layers, dashboards, and executive insights from fragmented healthcare data. Establish engineering standards involving Python, SQL, Git, testing, and maintainable software design. Partner with product, engineering, and business leaders to address data gaps and translate strategic needs into scalable technical solutions.

Design and lead scalable data architecture and orchestration systems supporting AI infrastructure and digital marketing platforms. Build production-ready batch and streaming pipelines, transform structured and unstructured data, and integrate sources with Snowflake. Apply sharding, replication, indexing, normalization, and data governance best practices. Develop tools for data scientists and analysts, collaborate cross-functionally, document architectural solutions, and guide teams in delivering secure, reliable, production-ready AI data systems.

Supports Global Distribution by monitoring industry and competitor activity, analyzing investment, performance, fee, flow, and market data, and developing competitive positioning insights. Prepares executive and governance reporting, advises senior sales and business stakeholders, contributes to product and pricing strategy, and partners cross-functionally on growth decisions. Improves and automates research and reporting workflows using approved AI tools while maintaining confidentiality, controls, and compliance.

Leads the Americas Business Intelligence Center, managing research leaders and delivering market, competitor, industry, company, and financial intelligence for business development and client delivery. Partners with senior stakeholders, oversees research quality and commercial support, drives responsible generative AI adoption, improves workflows and reporting, manages research vendors and subscriptions, and develops a high-performing team.