Supply Chain Data Architecture & Data Science Leader
Trane Technologies
- Davidson, NC
- $140,000-200,000 per year
- Permanent
- Full-time
- Understand the as-is processes and tools, their underlying data architecture and develop a future strategy and execution plan for process, tools and organization optimization
- Lead and manage the performance of the business operations data team
- Validate and enhance data architecture in collaboration with IT, source system owners, and other functions within the organization.
- Partner with IT and source system owners for robust data governance and management.
- Proactively address data collection and quality issues.
- Implement AI and automation solutions for supply chain process improvements.
- Define data models and create new data pipelines.
- Develop and maintain advanced predictive machine learning models.
- Manage data pipelines, infrastructure, and database systems.
- Manage data architect, data engineer, and data scientist personas.
- Participate in the creation of data and analytics strategies to capture new and evolving opportunities for our internal customers.
- Lead the technical design of data products, ensuring adherence to established patterns.
- Collaborate with analysts and product owners on the development of data product solutions.
- Bachelor's Degree in Business, Supply Chain, Operations, Engineering, or a related field. An additional qualification in Data Science or AI is highly desirable.
- Minimum 8-10 years of experience in data and analytics operations, with a strong emphasis on database design, data engineering, and analytics leadership.
- Proven track record of leading and mentoring high-performing teams of data and analytics professionals.
- Advanced skills in database and data model design, with a focus on using AI to develop innovative data products.
- Strong familiarity with application development tools and processes.
- In-depth knowledge of supply chain operations.
- Robust experience in project management with proficiency in both waterfall and agile/SCRUM methodologies.
- Demonstrated ability to use lean tools to drive process enhancements.
- Hands-on experience with cloud computing and data storage tools, particularly Google Cloud Platform.
- Exceptional ability to collaborate with diverse stakeholders on data product solutions.
- Experience in leading significant change management initiatives.
- Proven ability to manage large, complex cross-functional projects.
- A balance of strategic oversight and willingness to be hands-on in delivering initiatives and programs.
- Demonstrated ability in strategic planning and execution, with a forward-thinking mindset.
- Willingness to travel up to 20%, with adherence to any COVID-related restrictions.
- Analytical Thinking: Ability to analyze complex data structures and derive insights.
- Leadership: Proven experience in leading and mentoring teams towards achieving data-centric goals.
- Innovation: Capacity to implement new AI and automation technologies in supply chain processes.
- Technical Expertise: Deep understanding of data architecture, machine learning, and AI.
- Strategic Planning: Skills in developing and executing data strategies that align with organizational goals.
- Problem-Solving: Aptitude for tackling data-related challenges and optimizing workflows.
- Communication: Strong communication skills to effectively liaise between technical and non-technical stakeholders.
- Adaptability: Flexibility to adapt to evolving technologies and organizational changes.
- Project Management: Proficiency in managing multiple projects, prioritizing tasks, and meeting deadlines.