• Extract, transform, and analyze fleet‑scale manufacturing, testing, deployment, and operational data using advanced SQL (DML). • Understand and translate manufacturing, quality, and reliability concepts into measurable, data‑driven solutions and KPIs. • Perform statistical analysis on manufacturing test data to ensure data integrity, reliability, and readiness for automation and root‑cause analysis. • Continuously provide feedback upstream to improve data quality, coverage, and performance. • Identify and implement opportunities to automate manual workflows using AI and advanced analytics. • Develop AI‑driven recommendation systems for data standards, anomaly detection, intelligent data mapping, and quality insights. • Support the integration of AI and ML services (e.g., Vertex AI, LLMs) into analytics workflows and intelligent applications. • Partner with engineers and product teams to embed AI capabilities into hardware NPI and manufacturing processes. • Design, develop, and maintain interactive dashboards and reports using Looker Studio, Tableau, Power BI, or equivalent tools. • Visualize manufacturing performance, data quality scores, operational metrics, headcount status, and organizational spending. • Prepare executive‑level summaries and presentations that distill complex technical data into clear, actionable insights. • Provide leadership with real‑time, decision‑ready visibility into manufacturing and operational health.

Role Description Join BILL as a Risk Portfolio Management Analyst and help support how the Risk Management division executes at scale. The Risk Portfolio Management and Strategic Programs team sits at the intersection of risk strategy and operational execution, owning the programs, partnerships, and frameworks that enable BILL's risk organization to move quickly and with confidence. In this role, you will support program and vendor management coordination for the Risk organization, assist in building operating frameworks that reduce manual processes through AI tooling and automation, and manage individual project trackers focused on strategic execution. Your work will directly support BILL's ability to protect hundreds of thousands of SMBs who rely on our financial automation platform. Responsibilities - Program & Initiative Management: Own the development and execution of individual strategic portfolio plans, applying statistical and analytical techniques to project data to surface performance patterns and early risk indicators from scoping through completion. - Process Automation & AI Integration: Formulate and maintain operating frameworks that support risk strategic initiatives. Experiment with and deploy automation and AI-assisted tools to reduce manual workflows and improve team efficiency. - Insightful Visualization: Design high-quality, advanced dashboards in Tableau, AWS QuickSight, or other visual tools. Utilize compelling visuals, graphs, and narration techniques tailored to multi-level audiences to drive insights for project sponsors and leadership. - Vendor & ROI Ownership: Manage third-party vendor relationships, including tracking performance metrics, conducting ongoing evaluations, monitoring ROI, and overseeing budget lines to ensure vendors deliver measurable value to risk programs. - Cross-Functional Alignment & Conflict Resolution: Drive alignment across risk initiatives by maintaining project trackers, defining clear timelines, and communicating recommendations to cross-functional stakeholders. - Data-Driven Control Design: Partner closely with risk analysts and data scientists to formulate control strategy recommendations based on data and research. - Governance & Documentation: Oversee governance and audit documentation processes within the Risk division, ensuring programs and vendor/audit items are rigorously tracked, logged, and reported based on performance data. Qualifications - Minimum of 2 years of experience in risk management, portfolio analytics, program management, or a related field within financial services, ecommerce, or fintech. - Demonstrated experience managing medium-scale, cross-functional programs or workstreams with autonomy over deliverables, tracking, and timelines. - Hands-on experience managing third-party vendor relationships, including tracking performance measurement, logging audit requirements, and reviewing ROI. - Strong working knowledge of payment products and risk management principles across credit, fraud, or reputational risk domains. - Ability to distill complex data insights and risk analysis into clear, actionable recommendations and structured presentations for multi-level audiences. Desired Qualifications - Experience evaluating or deploying AI and automation tooling to optimize risk or operations functions. - Proficiency in SQL, Python, or R, with a proven ability to write queries and independently collect data requirements to support portfolio analysis. - Lean Six Sigma Green Belt certification or similar continuous improvement framework experience is highly advantageous. Education - Bachelor’s or Master’s degree in Business Administration, Finance, Computer Science, Economics, Mathematics, or a related field. Benefits - 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP). - HSA & FSA accounts. - Life Insurance, Long & Short-term disability coverage. - Employee Assistance Program (EAP). - 11+ Observed holidays and wellness days and flexible time off. - Employee Stock Purchase Program with employee discounts. - Wellness & Fitness initiatives. - Employee recognition and referral programs. - And much more.

• Manage and analyze FQHC outcome measures and reporting tools • Collaborate with leadership to track performance and support accreditation and compliance (HRSA, NCQA, etc.) • Provide insights through data analysis, trend reporting, and visualization tools • Support patient satisfaction surveys and quality improvement projects • Contribute to grant reporting and system improvements that impact care outcomes

• Provide primary analytics support for 1+ product-oriented delivery teams (PODs) centered in the Growth POD • Understand and interpret drivers of change in performance metrics and connect them to OKRs, marketing, clinical and financial outcomes • Analyze and interpret transactional business data, event-level product data, healthcare claims data, and other relevant information to identify trends and patterns • Present and visualize insights, trends and performance of initiatives and experiments to leadership • Develop and document data models to power KPI reporting and agentic analytics • Engage in creative problem solving with systematic solutions