Director, Analytics, Insights, & AI

The Director, Analytics, Insights & AI is a senior technology leader responsible for shaping and executing Rheem's enterprise data, analytics, and artificial intelligence strategy. Reporting to the Sr. Director of Platforms, Data, AI & Architecture, this leader will own the Enterprise Data Platform (EDP), advance Power BI adoption across the business, and drive AI/ML initiatives that deliver measurable operational and commercial value. The role requires equal parts strategic vision, technical depth, and the ability to build deep, trust-based relationships with business stakeholders across manufacturing, supply chain, finance, sales, and HR.This individual will lead the Data Analytics & AI Center of Excellence (CoE), govern data quality and master data management (MDM), and orchestrate AI engineering pipelines using Azure AI Foundry and MLOps best practices. The Director will manage a team of approximately 8–10 analytics and AI professionals and will be accountable for budget, vendor relationships, and emerging technology evaluation within the analytics and AI domain.This position will serve Rheem North America, and located in Atlanta, GA (hybrid). This role follows our hybrid work arrangement, with team members working in the office Monday through Thursday and remotely on Fridays. At Rheem, we engineer products for life. For home life. For work life. For the life of the planet we all share. Backed by over 100 years of expertise, we’re passionate about product innovation and boldly committed to sustainability. Our full line of global air and water solutions deliver reliable performance, comfort and energy savings for residential and commercial applications worldwide. From engineers to accountants, sales professionals to support experts, Rheem depends on people to power our innovations. Join Rheem and help shape the future of products that impact lives—every day. Our Behavior Based Values set us apart: Listening to Understand – Open mind, learning from others, accepting feedback, embracing the objectiveContributing Respectfully - Sharing opinions, valuing ideas, sharing opposing perspectives with respectThinking Creatively – Applying creativity, seeking improvements, understanding from the customers’ lensActing with Responsibility – Owning decisions and actions, acting with integrity, embracing accountability Rheem is an Equal Opportunity Employer. Rheem encourages all qualified candidates to apply, including those of any race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The job description above has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. Equivalent combination of education, experience, and skills may supplement above minimum job requirements. For U.S. Based jobs, please note that Rheem is unable to hire candidates to be employed in the following states: Alaska, District of Columbia, Hawaii, Idaho, Mississippi, Montana, New Mexico, North Dakota, or Vermont. Rheem and its subsidiaries do not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed Recruitment Services Agreement, there will be no obligation to any referral compensation or recruiter fee. 12+ years of progressive experience in data, analytics, and/or AI roles, with at least 5+ years in a director-level leadership position.Proven track record leading enterprise data platform programs (data lake, lakehouse, or EDW) at scale in a manufacturing, industrial, HVAC, or building products environment.Deep technical expertise with Databricks, Azure Data Services (Data Factory, Synapse, Azure AI Foundry), Power BI, Python, and SQL.Demonstrated experience delivering AI/ML and generative AI solutions from concept through production, including MLOps practices.Strong experience with data governance, MDM platforms (e.g., Profisee, Informatica, or equivalent), and data quality management.Experience integrating data from Oracle ERP systems (Fusion or EBS) into enterprise data platforms.Exceptional stakeholder engagement skills , able to influence without authority and translate technical capabilities into business outcomes.High accountability and ownership mindset; proven ability to deliver in a fast-paced, matrixed organization.Experience managing and developing multi-disciplinary data and analytics teams.Strong budget management and vendor negotiation capabilities.Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or related field; Master's degree preferred.Ability to travel up to 25% as required.Preferred Qualifications:Experience with Oracle Fusion ERP data architecture and analytics integration in a manufacturing environment.Relevant certifications such as Databricks Certified Data Engineer/Associate, Microsoft Certified: Azure Data Engineer Associate, or DP-600 (Fabric Analytics Engineer).Experience building or maturing a Data Analytics & AI Center of Excellence (CoE).Familiarity with LeanIX enterprise architecture tooling or similar EA platforms.Exposure to global manufacturing operations spanning the US, Canada, and international markets.Experience with enterprise integration platforms.Demonstrated change management experience leading analytics and AI adoption programs.Background in decarbonization, sustainability analytics, or ESG reporting is a plus.Experience with agentic AI frameworks, prompt engineering, and responsible AI governance.As a leader at Rheem, how you achieve results is as important as the results you achieve. While LEADING DEPARTMENTS AND FUNCTIONS, you will be expected to demonstrate the following competencies and behaviors:Building Business/Functional TalentBuilding PartnershipsCoachingCompelling CommunicationCreating InfluenceDriving ChangeDriving ExecutionDriving InnovationEmpowering OthersFocusing on Customer-FirstFostering Relationships/ Emotional IntelligencePromoting Global Business GrowthSystematic/Tactical DirectionEquivalent combination of education, experience, and skills may supplement above minimum job requirements.Enterprise Data, Analytics & AI StrategyDefine and execute a multi-year enterprise data, analytics, and AI roadmap aligned to Rheem's business priorities across manufacturing, commercial, and support functions.Partner with the Sr. Director of Platforms, Data, AI & Architecture to integrate data strategy into the broader technology vision.Serve as a thought leader on emerging analytics, AI/ML, and generative AI trends within the industrial manufacturing and HVAC sector.Enterprise Data Platform (EDP) OwnershipOwn end-to-end architecture, operations, and continuous improvement of the EDP built on Databricks and Microsoft Azure.Drive data lake and lakehouse design, data ingestion pipelines, and real-time and batch processing frameworks.Ensure platform scalability, security, and cost efficiency while meeting SLAs for enterprise reporting and analytics consumers.Power BI Analytics & Self-Service BILead the enterprise Power BI program, establishing standards, governance, and a center of excellence model for self-service analytics.Drive adoption of Power BI across business units; partner with functional leaders to build decision-grade dashboards and KPI reporting.Establish certified datasets, report governance, and row-level security best practices.AI/ML & Intelligent AutomationLead delivery of AI/ML initiatives including predictive analytics, demand forecasting, agentic AI, NLP, and intelligent automation solutions.Manage the AI engineering pipeline leveraging Azure AI Foundry, ensuring responsible AI practices, model governance, and MLOps.Identify and prioritize high-ROI AI use cases in partnership with business leaders; drive proof of concept through production deployment.Evaluate and integrate large language models (LLMs) and generative AI capabilities into enterprise workflows.Data Analytics & AI Center of Excellence (CoE)Build, lead, and continuously mature the Data Analytics & AI CoE, including governance frameworks, best practices, reusable assets, and community of practice.Establish and enforce enterprise standards for data modeling, analytics development, and AI/ML model lifecycle management.Business Stakeholder Collaboration & InfluenceDevelop and sustain deep, trust-based relationships with senior business stakeholders across finance, supply chain, manufacturing operations, sales, and HR.Translate complex analytical and AI capabilities into business value narratives; influence C-suite and VP-level leaders.Act as the primary analytics business partner for key enterprise programs including Oracle Fusion ERP, Profisee MDM, and Microsoft technology platforms (Dynamics, myrheem, and other).Data Governance, MDM & Data QualityOwn the enterprise data governance strategy including policies, stewardship, lineage, and data quality frameworks.Lead integration and ongoing operations of Profisee MDM, ensuring master data accuracy across Oracle Fusion, Databricks, and downstream systems.Drive data quality KPIs and remediation workflows in partnership with business data stewards.Team Leadership & Talent DevelopmentRecruit, develop, and retain a high-performing team of approximately 8–10 data engineers, analytics engineers, BI developers, and data scientists.Establish clear roles, career paths, and performance expectations; foster a culture of accountability, innovation, and continuous learning.Coach team members in agile delivery, data product thinking, and engineering excellence.Budget, Vendor & Partnership ManagementManage the analytics and AI domain budget, including licensing, cloud infrastructure costs, and professional services.Lead vendor relationships and contract negotiations for Databricks, Power BI, Azure AI services, Profisee, and other analytics tooling.Evaluate and onboard strategic technology partners to accelerate capability development.Oracle Fusion & EBS Data IntegrationEnsure robust data integration between Oracle Fusion (and legacy Oracle EBS), the EDP, and downstream analytics and reporting systems.Migrate and centralize reporting and analytics through Fusion Data Intelligence (FDI)Partner with the Oracle Fusion program team to define analytics requirements and data architecture for Wave 1 and subsequent rollouts.KPI Tracking, Security & ComplianceDefine and track KPIs for platform performance, data quality, BI adoption, and AI value realization.Ensure all data and AI systems comply with Rheem's information security policies, data privacy regulations, and audit requirements.Emerging Technology EvaluationContinuously monitor and assess the analytics and AI technology landscape; present recommendations on emerging tools, platforms, and methodologies.Lead structured proof-of-concept engagements with new technology vendors and translate findings into actionable investment recommendations.Posting Date: 2026-09-24