Senior Manager – Data Product Delivery & Analytics

Carpenter Technology CorporationCarpenter Technology Corporation is a leading producer and distributor of premium specialty alloys, including titanium alloys, nickel and cobalt-based superalloys, stainless steels, alloy steels, and tool steels. Carpenter’s high-performance materials and advanced process solutions are integral to critical applications across aerospace, transportation, medical, and energy markets. Building on a legacy of innovation, Carpenter’s wrought and powder technology capabilities enable next-generation products and advanced manufacturing techniques.Senior Manager, Data & Analytics (Enterprise Data Products)Job SummaryWe are seeking a highly skilled and forward-thinking data and analytics leader to drive the design, modernization, and strategic evolution of our enterprise data and analytics ecosystem. This role blends hands-on technical expertise with strategic leadership to shape how data is governed, delivered, visualized, and leveraged across the organization.The ideal candidate will lead the transformation of certified data products into scalable, trusted, and consumable analytics solutions using modern delivery tools, while influencing enterprise data strategy, architecture standards, and cross-functional adoption. This leader will also play a key role in advancing next-generation data platforms and AI-enabled analytics capabilities.This is a unique opportunity for a transformative leader who thrives on solving complex challenges and enabling enterprise intelligence through data.Primary ResponsibilitiesData Product Delivery & Analytics ExecutionLead the delivery of analytics solutions (dashboards, reports, semantic models) built on certified data productsEnsure outputs are scalable, reusable, and aligned with defined business outcomesDrive the transition from fragmented reporting to product-based analytics consumptionDeliver consistent, high-quality analytics to support operational and executive decision-makingAnalytics Delivery Tools & Consumption LayerLead development of analytics solutions using modern visualization and delivery tools (e.g., Power BI, ThoughtSpot, Tableau)Ensure tools are utilized as a consumption layer and not used to redefine business logicOptimize user experience, performance, scalability, and adoption of analytics solutionsLead modernization and rationalization of legacy reporting environmentsEnterprise Data Strategy & Architecture InfluenceContribute to the evolution of enterprise data strategy and analytics architectureInfluence how data products are structured, modeled, and consumed across domainsDefine and enforce standards for semantic layers, datasets, and consumption patternsProvide feedback to data engineering and platform teams to improve usability, performance, and reusabilityEnsure alignment between business priorities, analytics delivery, and platform capabilitiesSemantic Layer & KPI StandardizationLead development of enterprise semantic models (metrics, dimensions, KPI frameworks)Ensure consistent KPI definitions across all analytics outputsCentralize metric logic to eliminate duplication and conflicting interpretationsPartner with business and data teams to align definitions and business meaningMedallion Architecture Alignment & Data Product ConsumptionEnsure analytics outputs are built on curated, trusted (Gold-layer) data productsCollaborate with data engineering teams to enforce medallion architecture (Bronze/Silver/Gold)Validate data readiness, quality, and completeness prior to business consumptionPromote reuse of standardized datasets and models across use casesData Governance, Trust & QualityEnforce use of certified, governed data products across all analytics deliveryEnsure compliance with enterprise standards for data quality, lineage, and usabilityStrengthen trust by eliminating inconsistencies, duplication, and shadow reportingAI & Automation EnablementIdentify and drive opportunities to embed AI, automation, and decision support into analytics workflowsEnable use of data products for advanced analytics, machine learning, and AI use casesPartner with AI/ML teams to ensure model-ready data availability and feature consistencyAdvance adoption of intelligent analytics and automationCross-Functional Leadership & InfluenceServe as a strategic partner to business leaders, influencing data-driven decision-makingCollaborate across data product teams, engineering, platform teams, and advanced analytics teamsDrive adoption of enterprise analytics standards, tools, and best practicesMentor and guide analysts, engineers, and product teamsPosition RequirementsBachelor’s degree in Data Analytics, Computer Science, Information Systems, Engineering, or related field (Master’s preferred)10+ years of progressive experience in data, analytics, or business intelligence rolesDemonstrated experience leading enterprise analytics delivery and data product initiativesStrong expertise in modern analytics platforms (e.g., Power BI, Tableau, ThoughtSpot)Experience with enterprise data architectures, including medallion/lakehouse modelsProven experience developing semantic layers, KPI frameworks, and metric standardizationStrong understanding of data governance, data quality, and lineage practicesExperience enabling or working with AI/ML and advanced analytics solutionsExcellent stakeholder management and cross-functional leadership skillsCarpenter Technology Company offers a competitive salary and a comprehensive benefits package including life, medical, dental, vision, flexible spending accounts, disability coverage, 401k with company contributions as well as many other options to employees.Carpenter Technology Corporation’s policy is to fully and effectively maintain a program of equal employment opportunity and nondiscrimination for all employees, to employ affirmative action for all protected classes, and to recruit and develop the best qualified persons available regardless of age, race, color, religion, sex, gender identity, sexual orientation, marital status, national origin, political affiliation or any other characteristic protected by law. The Company also will recruit, develop and provide opportunities for qualified persons with disabilities and protected veterans.