Sr. Manager, Quality Data Intelligence & Project Management
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Not specified
- Posted
Skills
Must have
- Bachelors Degree in one of the following disciplines: Data Science, Information Technology, Computer Science, Engineering, or Statistics
- 5+ years of experience in Data Integration, Business Intelligence, Quality Analytics, Project Management and Digital Transformation.
Nice to have
- Experience working in manufacturing, industrial, automotive, HVAC, aerospace, or related industries preferred.
- Demonstrated experience leading cross-functional projects and driving organizational accountability.
Full description
Carrier Commercial HVAC is seeking a highly analytical and results-oriented Sr.Manager, Quality Data Intelligence & Project Management to lead enterprise quality data integration, business intelligence, and cross-functional project execution. This role serves as the central point of ownership for quality-related data across the product lifecycle, integrating information from engineering design, manufacturing operations, supplier quality, warranty systems, field service, and Voice of Customer (VOC) channels to generate meaningful insights that drive product and process improvements.
The successful candidate will transform complex datasets into actionable business intelligence through advanced analytics, dashboard development, AI-enabled solutions, and executive-level reporting. In addition, this role will drive accountability and project execution across manufacturing facilities, ensuring timely completion of problem-solving initiatives and continuous improvement projects.
Key ResponsibilitiesEnterprise Quality Data Ownership
- Serve as the end-to-end owner of Commercial HVAC quality data strategy and governance.
- Integrate and harmonize data from multiple sources, including:
- Product Design & Engineering
- Manufacturing Operations
- Supplier Quality
- Warranty & Field Service Systems
- Customer Complaints
- Voice of Customer (VOC)
- Reliability Testing
- Corrective and Preventive Action Systems
- Ensure data accuracy, consistency, integrity, and availability across enterprise quality platforms.
- Establish data standards, metrics definitions, and reporting methodologies.
Business Intelligence & Advanced Analytics
- Develop and maintain enterprise quality dashboards, scorecards, and KPI reporting systems.
- Create automated reporting solutions that provide near real-time visibility into quality performance.
- Analyze large, complex datasets to identify trends, risks, escape drivers, failure patterns, and improvement opportunities.
- Develop predictive and prescriptive analytics models to support proactive quality management.
- Generate actionable insights that support strategic decision-making at factory, regional, and executive levels.
Artificial Intelligence & Digital Quality Transformation
- Drive adoption of AI and advanced analytics tools within the quality organization.
- Identify opportunities to leverage machine learning, generative AI, automation, and predictive analytics to improve quality performance.
- Partner with IT, Digital, and Data Science teams to implement scalable AI solutions.
Executive Reporting & Communication
- Prepare executive-level presentations and business reviews for senior leadership.