Essential Functions:
- Advance data-driven decision-making, oversee business intelligence (BI) initiatives, and implement AI solutions to enhance business performance.
- Manage the data team, shape data strategies, and develop BI and AI-driven data analytics frameworks.
- Ensure data assets are effectively used to drive business value while aligning with Digital Transformation objectives.
- Collaborate with key business and technical stakeholders to ensure that architecture and governance principles align with organizational objectives.
- Provide vision and guidance to a team of data engineers to make optimal use of IT capabilities and technology investments.
- Provide thought leadership in domain-specific strategies, standards, and guidelines to define the Enterprise Architecture Target State, Blueprints and Roadmaps.
- Work with Business, Data leaders and Data Specialists to review strategies, requirements, and solutions to assess the impact on data and information architecture to ensure consistency and traceability throughout the enterprise.
- Develop and execute a comprehensive enterprise Data, BI/BA, and AI strategy aligned with business goals.
- Drive data-driven culture across Manufacturing Operations, Supply Chain Management, Engineering, and Product Development.
- Establish Data Governance frameworks to ensure data accuracy, consistency, security, and compliance with industry regulations.
- Lead and mentor a team of Data Engineers and BI Analysts fostering innovation in analytics.
- Continuously assess and enhance the organization’s AI and data capabilities.
- Ensure seamless integration of BI tools with existing enterprise systems for cross functional analytics.
- Work with external vendors, tech providers, and research institutions to drive best practices in manufacturing analytics.
Competencies:
- Strategic Orientation: Ability to align BI initiatives with overarching business strategies, driving sustainable growth and competitive advantage.
- Achievement Orientation: Demonstrated track record of delivering tangible results and exceeding performance metrics in BI project management and execution.
- Organizational Effectiveness: Proven expertise in optimizing data processes and systems to enhance organizational efficiency and agility.
- People Development: Adept at fostering talent development and cultivating a high-performing team culture within the BI function.
- Customer Orientation: Dedication to understanding and fulfilling the diverse needs of internal stakeholders through tailored BI solutions.
- Team Leadership: Exceptional leadership acumen, empowering teams to excel in a dynamic and collaborative environment while fostering innovation and continuous improvement.
Knowledge, Skills and Experience
- Bachelor's degree in Computer Science, Computer Engineering, or Computer Information Systems.
- Minimum 7 years experience as Enterprise Data Engineer / Architect, Cloud Engineer, Cloud Database Administrator, or Programmer / Analyst.
- Experience must have involved Data Science, Data Governance, Data Storage, Enterprise Architecture, and Artificial Intelligence using Power BI, Databricks, dbt, Fivetran, and AWS (or similar tools).
- Hybrid position with a blend of work from home and in-office
Compensation:
$180,000 to $200,000 per year annual salary.
Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role include: Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law.