Top Senior Data & Analytics Jobs

Leads the MPL data analytics team, defining strategy, prioritizing analytics intake, overseeing delivery, and ensuring data quality and governance. Hires, coaches, and develops analysts; manages capacity, standards, tooling, and operational initiatives. Partners with IT, data owners, product managers, and executives to deliver reporting, analytical solutions, automation, and insights supporting product P&Ls and business objectives.

Lead end-to-end people analytics projects, integrating data from systems such as Workday and Phenom. Develop forecasting models, scalable analytical solutions, visualizations, and executive-ready insights to support workforce planning and organizational strategy. Apply statistical, predictive, AI-enabled, and data storytelling techniques while maintaining data governance and quality standards. Partner with senior leaders and cross-functional stakeholders to translate complex talent and organizational data into actionable recommendations.

Lead development of functional and non-functional business requirements. Work with stakeholders on requirements management, prototyping, system architecture, big data and analytics, data processing environments, and Agile/SDLC delivery. Communicate complex concepts simply and apply business acumen throughout the lifecycle.

Owns enterprise-wide customer data governance, master data management, data quality, standards, lineage, security classifications, and compliance. Leads customer data domain strategy, golden-record definition, quality analysis using SQL, issue resolution, governance initiatives, stakeholder communication, change management, and regulatory alignment. Partners across business, sales, marketing, legal, privacy, and technical teams while managing data catalogs, integrations, audit trails, and governance training.

Analyze complex healthcare and education datasets, build product-focused data models, dashboards, and self-service analytics tools, and establish data quality and governance practices. Partner with product, operations, clinical, software engineering, and data engineering teams to translate business questions into actionable insights, define product metrics, support experimentation, and communicate recommendations to leadership.

Leads a data engineering team responsible for scalable pipelines, analytical databases, governed data assets, and Finance analytics solutions. Oversees strategy, prioritization, delivery, stakeholder collaboration, data governance, and continuous improvement. Advances AI and agentic development practices, recruits and develops staff, and establishes engineering standards across cloud and on-premises environments.

Lead design and delivery of production data platforms, pipelines, and analytics. Architect Snowflake/Databricks solutions, build ETL/streaming ingestion, implement dbt transformations, data quality, observability, and governance, support BI and AI/ML feature/data pipelines, and mentor engineers while driving DataOps and platform best practices.

Supports Marriott’s Account Sales Organization through sales performance analytics, dashboard and report maintenance, data validation, KPI measurement, goal-setting, compensation reporting, and data governance. The role prepares analyses, reconciles data, documents reporting processes, assists with automation and process improvements, and communicates findings and issues to team members and business partners under guidance.

Lead delivery and transformation of financial analytics for investment banking partners. Oversee team utilization and capacity planning, implement AI and automation (UIPath, Python, GPT/Claude) to create scalable products (profiles, pitchbooks, dashboards), partner with research and stakeholders, measure service effectiveness, and identify new analytics opportunities.

Lead second-line oversight of Data Quality controls: build and run a control monitoring program, manage annual oversight planning, perform design and operating effectiveness assessments, enforce sampling and evidence standards in the firm GRC tool, provide MI and challenge first-line owners, and lead a small team to drive remediation and reporting to senior management.

Lead design and delivery of data models, analytics, automated workflows, and visualizations to support HR decision-making. Build scalable data solutions for workforce planning, compensation, and reporting, deploy emerging technologies (GenAI, automation), ensure data governance and security, and partner with senior leaders on workforce strategy.

Develops data-driven solutions for business problems through data mining, modeling, analysis, and visualization. Manages data logistics, structures, business rules, metadata, and analytical support tools. Deploys and validates analytical solutions, communicates findings and recommendations to stakeholders, and manages multiple projects, timelines, and scopes. Independently resolves complex problems and may oversee project work and team development.

Lead design and execution of advanced personalization and experimentation programs to drive engagement and conversions. Own end-to-end Optimizely initiatives, design A/B and multivariate tests, perform cohort and incremental lift analysis, influence cross-functional teams, and mentor junior analysts.