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Reading, Pennsylvania, United States
Onsite
Carpenter Technology Corporation
Carpenter 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 Summary
We 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 Responsibilities
Data Product Delivery & Analytics Execution
Lead the delivery of analytics solutions (dashboards, reports, semantic models) built on certified data products
Ensure outputs are scalable, reusable, and aligned with defined business outcomes
Drive the transition from fragmented reporting to product-based analytics consumption
Deliver consistent, high-quality analytics to support operational and executive decision-making
Analytics Delivery Tools & Consumption Layer
Lead 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 logic
Optimize user experience, performance, scalability, and adoption of analytics solutions
Lead modernization and rationalization of legacy reporting environments
Enterprise Data Strategy & Architecture Influence
Contribute to the evolution of enterprise data strategy and analytics architecture
Influence how data products are structured, modeled, and consumed across domains
Define and enforce standards for semantic layers, datasets, and consumption patterns
Provide feedback to data engineering and platform teams to improve usability, performance, and reusability
Ensure alignment between business priorities, analytics delivery, and platform capabilities
Semantic Layer & KPI Standardization
Lead development of enterprise semantic models (metrics, dimensions, KPI frameworks)
Ensure consistent KPI definitions across all analytics outputs
Centralize metric logic to eliminate duplication and conflicting interpretations
Partner with business and data teams to align definitions and business meaning
Medallion Architecture Alignment & Data Product Consumption
Ensure analytics outputs are built on curated, trusted (Gold-layer) data products
Collaborate with data engineering teams to enforce medallion architecture (Bronze/Silver/Gold)
Validate data readiness, quality, and completeness prior to business consumption
Promote reuse of standardized datasets and models across use cases
Data Governance, Trust & Quality
Enforce use of certified, governed data products across all analytics delivery
Ensure compliance with enterprise standards for data quality, lineage, and usability
Strengthen trust by eliminating inconsistencies, duplication, and shadow reporting
AI & Automation Enablement
Identify and drive opportunities to embed AI, automation, and decision support into analytics workflows
Enable use of data products for advanced analytics, machine learning, and AI use cases
Partner with AI/ML teams to ensure model-ready data availability and feature consistency
Advance adoption of intelligent analytics and automation
Cross-Functional Leadership & Influence
Serve as a strategic partner to business leaders, influencing data-driven decision-making
Collaborate across data product teams, engineering, platform teams, and advanced analytics teams
Drive adoption of enterprise analytics standards, tools, and best practices
Mentor and guide analysts, engineers, and product teams
Position Requirements
Bachelor’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 roles
Demonstrated experience leading enterprise analytics delivery and data product initiatives
Strong expertise in modern analytics platforms (e.g., Power BI, Tableau, ThoughtSpot)
Experience with enterprise data architectures, including medallion/lakehouse models
Proven experience developing semantic layers, KPI frameworks, and metric standardization
Strong understanding of data governance, data quality, and lineage practices
Experience enabling or working with AI/ML and advanced analytics solutions
Excellent stakeholder management and cross-functional leadership skills
Carpenter 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.