Role Description As part of BILL’s CXO organization, this role sits at the heart of how we understand and improve the customer experience at scale. You will turn our rich operational data and emerging agentic AI capabilities into clear, actionable intelligence that shapes strategy and day-to-day decision-making across CX operations. This is a high-visibility opportunity to build the next generation of CX intelligence, reduce customer friction, and unlock new levels of retention and workforce efficiency. - Lead the design and development of CX data intelligence solutions, including agentic AI “insight agents” that monitor operational health and recommend actions. - Analyze customer journeys, contact drivers, and operational metrics to identify friction points, churn risks, and opportunities to improve customer and agent experiences. - Build and maintain dashboards, reports, and self-service tools that provide CXO leaders with clear visibility into performance, trends, and forecasted outcomes. - Partner closely with CX operations, support, product, data, and engineering teams to translate insights into prioritized roadmaps, process changes, and experiments. - Define and refine CX health and retention metrics (e.g., segment-level health scores, leading indicators) that guide investment and intervention decisions. - Apply advanced analytics, including AI/LLM-powered techniques where appropriate, to automate classification, surface emerging themes, and reduce manual analysis. - Establish and uphold best practices for data quality, documentation, and governance across CXO analytics assets. Qualifications - Strong proficiency in SQL and experience working with large, complex datasets in modern data warehouse and BI environments. - Hands-on experience building analytical models, dashboards, or intelligence solutions that drive measurable impact in customer experience, operations, or similar domains. - Familiarity with AI, machine learning, or LLM-based approaches and a passion for applying them to real-world CX and operational problems. - Exceptional ability to translate complex analysis into clear, compelling stories and recommendations for non-technical stakeholders. - A proactive, ownership-oriented mindset, with a track record of collaborating across teams to move from insight to execution. Requirements - Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future. 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

• Own marketing's funnel metrics and performance standards - defining consistent definitions for MQLs, pipeline contribution, conversion rates, and channel ROI across the org. • Build and maintain dashboards for channel owners, campaign managers, and marketing leadership across HubSpot, Salesforce, and BI tooling; automate recurring reports to reduce manual overhead and increase visibility. • Establish standardized reporting cadences - weekly, monthly, and quarterly - and ensure metrics roll up consistently across teams. • Proactively surface performance trends, anomalies, and opportunities; develop executive-level reporting that translates marketing performance and ROI into clear narratives leadership can act on. • Build and maintain spend vs. pipeline impact models and monthly insight briefs that support investment decisions and flag what the team should pay attention to next. • Partner with marketing leadership during planning cycles to model forecast scenarios, validate targets against historical data, and serve as the analytical voice in budget discussions with RevOps and Finance. • Build and operationalize a measurement framework for marketing tests and pilots - defining success metrics upfront, tracking outcomes rigorously, and delivering what-if analyses that support strategic channel and investment decisions. • Maintain campaign tracking infrastructure in partnership with RevOps: UTM conventions, CRM campaign setup, naming standards, and attribution logic - and advocate for marketing's measurement needs in cross-functional system discussions. • Maintain a shared glossary of marketing metrics and data definitions; partner with RevOps on data enrichment initiatives to keep contacts, accounts, and opportunities complete. • Train channel owners on self-serve dashboards, build audience segmentation reports, and act as marketing's representative in data governance discussions. • At Fundraise Up, AI is a default tool, not an experimental one. We expect every team member to actively use AI in their day-to-day work, identify where AI can change the shape of problems in their function, and grow their fluency as the tools evolve. You should already be using AI meaningfully in your work and understand where it adds value and how it can improve the way you operate.

• Build and Own the Analytics Products • Design, build, and maintain the curated data sources, dashboards, and reports that drive operational decision-making across our programs. • Own each product end to end — from requirements through building, documentation, training, and ongoing enhancement. • Write the SQL and Shape the Data Model • Develop, optimize, and maintain SQL against our cloud data environment. • Partner with data engineering to expose the data you need, and contribute to a sustainable, well-structured analytical layer. • Articulate data requirements clearly and build for performance and reuse. • Automate Recurring Reporting • Build and maintain Python-based reporting pipelines for recurring operational, compliance, and quality deliverables. • Validate rigorously — reconcile numbers to source, QA before release, and stand behind the figures you publish. • Document, Train, and Maintain • Produce clear documentation for the data sources and dashboards you build. • Train and enable the people who use them. • Maintain a prioritized backlog of enhancement requests and re-prioritize as the business needs shift.

Role Description Ardurra is looking to hire a Data Analytics Manager to join our team in Dallas, TX! This position is open to remote applicants, preferably near major Ardurra offices. The Data Analytics Manager will lead the development of Ardurra’s enterprise data platform, analytics capabilities, and business intelligence strategy. This role is responsible for building a trusted, scalable data foundation that enables informed decision-making across the organization. - Working closely with business leaders and technology teams. - Architect and implement modern data platforms. - Develop enterprise reporting and analytics capabilities. - Establish best practices for data governance and quality. - Partner closely with the AI & Digital Innovation Manager. Qualifications - Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field. - 6–10 years of experience in data engineering, business intelligence, analytics, or enterprise data platform development. - Hands-on experience with Microsoft Fabric, Azure Data Services, Power BI, SQL, and enterprise data architecture. - Strong experience building enterprise data lakes, data warehouses, ETL/ELT pipelines, and semantic models. - Experience with Workato or similar enterprise integration platforms. - Strong understanding of APIs, enterprise integrations, and cloud-based data platforms. - Experience establishing enterprise data governance and data quality practices. - Excellent communication skills with the ability to engage both technical and business stakeholders. Requirements - Develop and execute Ardurra’s enterprise data and analytics strategy aligned with business priorities. - Translate business objectives into scalable data, reporting, analytics, and automation solutions. - Partner with business leaders across various departments to identify data-driven opportunities. - Establish a roadmap that advances enterprise reporting, analytics, and data maturity. - Balance strategic planning with hands-on technical delivery. - Design, build, and manage Ardurra’s enterprise data platform utilizing Microsoft Fabric, Azure Data Services, and related technologies. - Develop and maintain enterprise data lakes, warehouses, semantic models, and modern data architectures. - Build scalable ETL/ELT pipelines that deliver trusted, high-quality data across the organization. - Optimize platform performance, scalability, reliability, and security. - Establish enterprise data governance standards and best practices. - Define data ownership, stewardship, quality, and lifecycle management processes. - Leverage Workato as the enterprise integration platform to connect business applications and streamline data movement. - Develop enterprise dashboards and executive reporting utilizing Microsoft Power BI. - Partner closely with business stakeholders, application owners, and IT teams to deliver enterprise data solutions. Benefits - Competitive compensation. - Comprehensive benefits package. - Collaborative, people-first environment. - Opportunities for career growth through Ardurra Academy and Leadership Development Programs. Company Description Ardurra is a multidisciplinary civil engineering services firm providing innovative solutions to public and private sector clients across the United States. We leverage the depth of our technical expertise, collaborative culture, and integrated service model to deliver practical solutions that improve the communities we serve. We are committed to creating opportunities for our employees to grow both personally and professionally. Our teams contribute to some of the nation’s most impactful infrastructure projects, making a meaningful difference in the lives of the people and communities we support.