• Lead end-to-end delivery of reference data management projects, from planning and design through implementation and post-launch support • Define and maintain reference data standards, policies, and governance frameworks • Collaborate with business stakeholders, data owners, and IT teams to identify and document reference data requirements • Oversee data modeling, data mapping, and integration efforts related to reference data domains • Manage project timelines, budgets, risks, and dependencies across multiple workstreams • Ensure data quality by establishing validation rules, monitoring processes, and remediation workflows • Coordinate cross-functional teams including data engineers, analysts, and business users • Drive adoption of reference data tools, platforms, and best practices across the organization • Develop and maintain documentation including data dictionaries, lineage, and governance artifacts • Report project status, risks, and KPIs to senior leadership and stakeholders • Champion enterprise-wide data governance projects and align reference data strategy with broader data management goals • Implement modern data management tools (e.g., MDM platforms, data catalogs, metadata management solutions) • Lead change management efforts to improve data literacy and governance adoption • Mentor junior team members and help build a strong data management culture • Partner with architecture and engineering teams to define scalable integration and distribution patterns for reference data, including APIs, batch feeds, event-driven patterns, and catalog integration • Identify opportunities for automation and process optimization within reference data workflows • Support regulatory and compliance requirements related to data management (e.g., audit readiness, reporting standards)

• Own the connected-growth product strategy for US Valve’s data center business • Identify opportunities where broader IDEX products, technologies, or capabilities can support data center cooling applications • Build strong working relationships with other IDEX business units to understand their products, capabilities, limitations, and commercial fit • Partner with Sales and Business Development to understand customer needs, application gaps, and market opportunities • Translate customer and market needs into clear product, portfolio, and commercialization opportunities • Build business cases for connected-growth opportunities, including market need, customer value, revenue potential, margin expectations, investment needs, risks, and execution requirements • Partner with Finance to validate assumptions around revenue, margin, cost, pricing, investment, and payback • Work with Engineering and Operations to understand whether connected-growth opportunities are technically and operationally realistic • Support commercialization planning for connected-growth products, including positioning, customer messaging, sales tools, launch plans, and trade show support • Help determine which opportunities should be built by US Valve, sourced through another IDEX business, partnered externally, or considered as a future M&A capability gap • Support M&A strategy by helping identify product gaps, technology adjacencies, market needs, and potential capability areas that could strengthen US Valve’s position in data center cooling • Maintain a clear pipeline of connected-growth opportunities, including status, next steps, owners, risks, and expected business impact • Help prioritize connected-growth opportunities using market size, customer pull, margin potential, strategic fit, speed to market, and execution complexity • Partner with the current Product Manager to ensure connected-growth opportunities fit with the broader US Valve product roadmap and do not create confusion with US Valve-made products • Support customer meetings, trade shows, and IDEX cross-business discussions where connected-growth opportunities are being developed • Bring structure, clarity, and follow-up to ideas that might otherwise stay informal or get lost between business units

• Serve as the DM study lead and the primary point of contact for clinical study teams and external partners • Oversee all DM activities across all stages of the trial from study start-up through archiving • Provide a high level of expertise in data management to support clinical studies • Provide clear verbal or written information and hands-on support to project team members and to CROs related to eCRF and database design, data quality, and reporting of database / data quality status • Oversee the implementation and execution of procedures for data quality review and data acceptance prior to data analyses and/or database lock • Manage data transfers with CROs and third-party data sources, SAE/AE reconciliation and MedDRA/WHO-DD coding • Support the transfer, locking, and archiving of study databases • Manage scheduling and time constrains across multiple projects • Prepare recommendations for new or improved processes for data management and data flow • Document DM sponsor oversight activities from protocol review through study close-out

• Design, build, and scale advanced detection and diagnostic models for solar and storage assets. • Enable faster detection, fewer truck rolls, and better customer experience. • Report to the Director of Data Science and partner closely across product management, engineering, and operations to take models from idea to production in Omnidian’s Resolv platform.