Top Senior Data & Analytics Jobs

Leads Ford’s multi-touch attribution team and enterprise marketing measurement capability. Responsibilities include managing eight employees, vendor relationships, data pipelines, analytics intake, taxonomy governance, data quality, statistical validation, causal inference, dashboards, and reporting. The role uses GCP, Python, and SQL to automate attribution workflows, evaluates marketing effectiveness, oversees budgets and contracts, partners with media agencies, and communicates insights to technical and business stakeholders. It also promotes AI/ML and generative AI adoption while ensuring privacy, policy compliance, and alignment with Marketing objectives.

Lead the strategy, roadmap, governance, standards, quality, and adoption of the enterprise payer data domain. Partner with executives, data stewards, custodians, product, technology, analytics, compliance, and operations teams to prioritize data products and initiatives. Own domain-level decisions, definitions, metadata, policies, KPIs, regulatory risk, and stakeholder alignment while supporting provider and healthcare data strategies across the organization.

Build and maintain large-scale data infrastructure, ETL pipelines, and cloud-native data applications for a Department of Defense platform. Design systems using Kafka, Flink, Kafka Streams, databases, Kubernetes, and related technologies. Collaborate with experienced engineers to deliver fault-tolerant, low-latency data platforms, while supporting enterprise cloud infrastructure, automation, observability, and data governance.

Leads Operations’ performance-management and analytics processes, including KPI reporting, dashboards, forecasts, quarterly reviews, cost analysis, and executive presentations. Evaluates operational and financial trends, identifies root causes, recommends improvements, and tracks corrective actions. Oversees reporting and business-owner coordination for Operations capital projects and strategic initiatives. Collaborates with Finance, HR, IT, PMO, and Operations leaders to improve data quality, accountability, operational readiness, and decision-making.

Designs, develops, and optimizes enterprise Snowflake data platforms, pipelines, data models, and ELT/ETL workflows. Builds reliable data lake and warehouse solutions, manages Snowflake performance and costs, implements data quality and governance practices, and supports cloud data environments on Azure or AWS. Partners with analysts, scientists, engineers, and business stakeholders to deliver scalable solutions, troubleshoot platform issues, influence architecture, and mentor junior engineers.

Leads global commercial analytics and AI enablement for J&J MedTech’s Microsoft Dynamics 365 platform. Defines analytics strategies, requirements, data foundations, KPI standards, dashboards, and AI agent capabilities. Partners with regional analytics teams, business units, data product managers, engineers, and IT to standardize solutions, improve user experiences, and drive adoption. Guides self-service analytics, conversational insights, data quality, governance, and scalable commercial decision support across sales, marketing, customer service, and related operations.

Leads marketing measurement and analytics across media, promotions, and customer engagement. Uses marketing mix modeling, experimentation, incrementality analysis, SQL, and large datasets to evaluate performance, optimize budgets and channels, and connect marketing investments to revenue, profitability, and ROI. Partners with Marketing, Finance, Insights & Analytics teams, and external vendors while translating complex findings into executive-ready recommendations and dashboards.

Analyze global performance marketing campaigns, measure media-spend impact, develop data-driven user-growth strategies, define marketing KPIs, and transform complex data into actionable insights. The role partners with data science and marketing technology teams, shapes backend data design, and builds dashboards in tools such as Tableau. Candidates need strong SQL, marketing analytics, data visualization, communication, and analytical skills, with occasional statistical programming experience preferred.

Administer and monitor AWS PostgreSQL databases, optimize complex queries, review schemas and indexes, guide data architecture, support releases and infrastructure growth, and maintain RDS systems. The role also automates manual workflows using AI tools, collaborates cross-functionally, and mentors junior and mid-level engineers while establishing database best practices.

Leads Human Capital business intelligence and analytics delivery from intake and prioritization through requirements, SQL analysis, dashboard development, validation, and implementation. Builds Tableau or comparable BI solutions, manages analytics demand, automates recurring reporting, partners with Data Engineering and Technology, documents data logic, and communicates findings to stakeholders. May build and lead a junior analyst team responsible for routine reporting and service delivery.