Global Supply Chain Data Insights Strategist
7 days ago
Corning is a vital company that plays a crucial role in shaping various industries and the world at large.
We are a science-driven organization that utilizes materials science to invent life-changing technologies. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful innovation make us a key player in the way the world interacts, works, learns, and lives.
We continuously invest in research, development, and innovation, ensuring we are always ready to tackle the toughest challenges alongside our customers.
The Global Supply Management (GSM) Function is a critical component of our business success. It delivers training, tools, and opportunities needed to create innovative solutions for the function and the corporation. GSM has leading-edge processes to anticipate and exceed customer requirements.
Job DescriptionThis role serves as a trusted partner to businesses, leveraging internal and external data to deliver actionable insights and impactful recommendations. This enables businesses to enhance decision-making, create value, seize opportunities, and drive growth. As the Lead, Global Supply Chain Data Analytics, you will manage a team of analytics professionals while also being actively involved in the hands-on development of data analytics projects to drive cost savings, supply assurance, cashflow, and operational performance that align with global business objectives.
Main Responsibilities- Data-Driven Decision Making: Collaborate with business stakeholders to understand their needs and translate these into actionable technical specifications aligned with business goals.
- Data Analysis and Modeling: Analyze data and create data transformation models that power applications and Business Intelligence (BI) dashboards, enabling accurate insights.
- Solution Development and Implementation: Develop and oversee the creation and maintenance of analytics and automation solutions tailored to business requirements, utilizing Corning tools such as Alteryx, Databricks, Microsoft Power Platform, and SAP Build. This includes full ownership of project plans, delivery timelines, User Acceptance Test (UAT), issues tracking, and resolution to meet SLAs.
- Leadership and Team Development: Responsible for the career development, coaching, and day-to-day work responsibilities of a group of professional analytics professionals.
- Continuous Improvement: Enhance the functionality and performance of analytics solutions by iteratively improving data models, data quality, and insights.
- Issue Resolution and Prevention: Proactively oversee and rectify any discrepancies or issues arising from existing solutions to prevent impact to business.
- Cross-Functional Collaboration: Work closely with business units, Global Supply Management (GSM) stakeholders, IT teams, and other groups to achieve alignment on solutions that address intricate data requirements and challenges.
- Proof of Concept Development: Design and execute Proof of Value (POV) exercises to validate the impact and viability of new solutions, e.g., predictive and prescriptive modeling using advanced analytics.
- Skill Enhancement and Industry Knowledge: Continuously enhance technical skills and stay up-to-date with industry trends.
To be successful in this role, you should have:
- Education: A bachelor's or master's degree in engineering, computing, science, or a related field.
- Experience: Minimum 10-12 years of experience in a similar lead role, preferably in data analytics, business intelligence, or application development within supply chain or similar industries.
- Technical Expertise: Advanced proficiency in Microsoft Power Platform, particularly Power BI, for data visualization and dashboard creation. Proven experience with Databricks, Power Apps, Python, and SQL is preferred.
- Data Management Skills: Demonstrated ability in designing and constructing robust and scalable databases. Strong capabilities in data blending and transformation to create cohesive datasets from diverse sources, and experience in establishing data governance frameworks to ensure data quality and compliance.
- Problem-Solving and Project Management: Strong problem-solving skills with a track record of identifying opportunities and implementing solutions that improve business outcomes. Ability to manage multiple priorities simultaneously.
- People Management and Industry Knowledge: Experience leading and developing a team of analytics professionals. A deep understanding of current trends in data analytics and supply chain management, with the ability to translate them into actionable business strategies.
- Collaboration and Adaptability: Proven ability to collaborate with cross-functional teams from different geographical locations and cultures.
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