• Develop and implement statistical, predictive and prescriptive models to optimize processes related to workforce management. • Explore and analyze large volumes of data to identify patterns, trends and improvement opportunities. • Create and validate optimization models for complex problems such as resource allocation, scheduling and capacity planning. • Collaborate with multidisciplinary teams (IT, Operations, Business) to translate challenges into data-driven solutions. • Ensure quality, governance and documentation of developed models and pipelines. • Support the definition of metrics and KPIs for performance monitoring.

• Lead identification and prioritization of high-impact automation opportunities across quote-to-cash, moving beyond task-based automation to end-to-end process transformation • Own the Revenue and AR automation intake and roadmap, including problem definition, requirements, and success metrics • Partner with the RPA team and Accounting Operations to design solutions and drive UAT, deployment readiness, and adoption for Revenue and AR • Build, troubleshoot, and optimize complex Alteryx Designer workflows • Publish and maintain owned workflows on Alteryx Server, including scheduling, monitoring, documentation, and versioning • Ensure automated solutions maintain audit trails and align with SOX and internal control requirements • Collaborate with Business Transformation to design the reconciliation, validation, and monitoring of financial data within Snowflake • Design and maintain Tableau dashboards providing visibility into revenue, billing, and accounts receivable performance • Train and mentor new Alteryx users within the CAO organization and promote workflow standards and best practices • Execute ad hoc analyses and projects independently

• Own and implement the end-to-end instrumentation plan for MB3, including event taxonomy, tracking standards, and data quality across the platform• Establish core metrics for Product, Marketing, and leadership, ensuring alignment to business goals such as engagement, conversion, attribution, and platform health• Define measurable success criteria, build and maintain the migration scorecard, and support stage gate decisions with clear data on adoption, performance, and user behavior• Identify performance gaps, uncover opportunities, and size the impact of product initiatives to inform prioritization and roadmap decisions• Write detailed dashboard requirements by stakeholder, partner with Data Engineering to ensure data models support reporting needs, and validate outputs for accuracy and usability• Build and refine attribution approaches across digital and physical touchpoints, improving visibility into performance for internal teams and brand partners• Partner closely with Product, Marketing, and Data to translate business questions into measurement plans and ensure insights lead to action• Audit existing data systems (Segment, Snowflake), close gaps, and establish scalable data standards

• Leading the development and implementation of clinical data management strategies to optimize data collection, analysis, and reporting. • Collaborating with cross-functional teams to ensure the accurate integration of data science techniques into clinical trial designs. • Overseeing the analysis of clinical data to provide actionable insights that inform study decisions and outcomes. • Providing strategic guidance on data governance, quality control, and compliance with regulatory requirements. • Establishing partnerships with key stakeholders to leverage the latest advancements in data science and technology in clinical research.