Veralto ir globāls B2B un uzņēmumu tehnoloģiju uzņēmums, kura darbības uzņēmumi izstrādā risinājumus būtiskām vajadzībām ūdensapgādes, pārtikas un citu uzticamu preču jomā. Tā uzņēmumi izstrādā tehnoloģijas, kas palīdz aizsargāt piekļuvi tīram ūdenim, atbalstīt pārtikas nekaitīgumu un kvalitāti, kā arī pārbaudīt ikdienā izmantoto produktu integritāti. Kā specializētu zīmolu portfeļa mātesuzņēmums Veralto apvieno komandas, kas koncentrējas uz inovācijām, ilgtspējību, godprātību un atbilstību, vienlaikus apkalpojot klientus visā pasaulē.
Director of Data, Analytics and AI
Lead data, analytics and AI strategy for Veralto’s Environmental Business. Build governed data systems and production AI that support commercial, finance, operations and supply-chain decisions.
Apraksts
- Set data, analytics and AI strategy and roadmaps for the Environmental Business across Ott and Kipp & Zonen.
- Review existing architecture, platforms, pipelines, reporting and active initiatives, then define a scalable future state.
- Develop a secure, sustainable data ecosystem that connects ERP, CRM, finance, supply-chain and service data.
- Set governance for data ownership, definitions, quality, access, privacy, security and compliance.
- Standardize key measures and improve self-service BI, dashboards, scorecards and decision-ready analytics.
- Find valuable AI and automation opportunities and bring selected solutions into production.
- Support responsible AI adoption through license governance, user education, adoption measures, controls and ROI tracking.
- Coach and coordinate internal staff and contractors, and help design and build the future team.
- Work with senior business and functional leaders to align priorities, increase adoption and deliver measurable value.
- Assess technology vendors and platforms for capability, scalability and cost.
- Report to the Vice President of IT.
Prasības
- Bachelor’s degree in computer science, data science, business analytics, information systems or a related field; a master’s degree is preferred.
- At least 10 years of progressive data and analytics experience, including 5 or more years leading teams or enterprise capabilities.
- Demonstrated success building or substantially improving enterprise data, analytics or AI capabilities with measurable business results.
- Practical experience taking AI/ML or analytics solutions beyond pilots and into production.
- Strong understanding of modern data architecture, cloud warehouses or lakehouses, ETL/ELT, APIs, BI and the AI/ML lifecycle.
- Experience with major cloud and data platforms, such as AWS, Azure, GCP, Databricks, Snowflake, Power BI or Tableau.
- Experience integrating and harmonizing data across ERP, CRM, finance, supply chain and other business systems.
- Strong executive communication and stakeholder influence, with a focus on business value.
- Experience in manufacturing, industrial, scientific instrumentation, FMCG or another product-based environment.
- Experience setting data governance, standardizing enterprise measures, and improving data quality and pipelines.
- Experience assessing data, AI and automation investments using structured build-versus-buy and ROI frameworks.
- Knowledge of global privacy and compliance frameworks, including GDPR and CCPA.
- Experience working across multiple businesses, geographies, ERP environments and matrixed stakeholder groups.
Priekšrocības
- Paid time off
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) retirement plan