Director of Strategic Data and Analytics

1 month ago

Mason MI United States Dart Container Full time
The Strategic Data and Analytics Director will guide the vision for enterprise data governance, reporting and analytics, supporting our executive team in shaping and delivering data and analytics aligned with our strategic objectives. The Strategic Data and Analytics Director will work on a dynamic mix of data governance and analytics projects, interacting with leaders across the company to understand their business objectives and shape data and analytics solutions that deliver value through insights. The person will analyze complex, cross-functional business opportunities and guide data governance and analytical frameworks and tools to support evaluation and decision-making. The person will work across business departments and IT to establish common business processes to drive data consistency and manage a data governance program that is aligned with strategy. The person will collaborate and communicate across the organization to enable change and sustained improvements. The Strategic Data and Analytics Director will oversee, and help to lead, projects spanning Business Teams, Commercial Finance, Planning, Manufacturing, Distribution, Procurement, and Engineering, working in close collaboration with Sales, Marketing, Finance, HR, and IT. Day-to-Day Role:
  • Manage and lead a centralized data and analytics organization to provide excellent service and high quality results
  • Translate business questions into data governance and analysis objectives
  • Build strong working relationships with management across departments, and facilitate discussions on data governance and analytics initiatives and solutions
  • Develop frameworks and approaches to analyze complex business issues and evaluate the impact of trends
  • Provide strategic metrics, insights, and recommendations to company leaders
  • Track and monitor status of data and analytics initiatives, and ensure appropriate actions are taken to successfully deliver initiatives, and escalate concerns as appropriate
  • Oversee continuous improvement plans to optimize efficiency and quality of data governance and analytics services, and apply appropriate monitoring and controls
  • Define and implement data management strategy and corresponding policies, processes, and procedures
  • Establish key data governance objectives and performance goals aligned with strategy
  • Establish consistent definitions, naming standards, rules, calculations, security requirements, etc.
  • Promote data accuracy and best in-class data management practices
  • Maintain data standards & repository of key elements around the in-scope data domains (e.g., Materials, BOMs, Routings, Customers, Vendors), and ensure their use throughout the organization
  • Discover data quality gaps and lead improvement and consistency
  • Promote and operationalize data governance and stewardship across the organization
  • Collaborate with IT to define and implement enterprise data management applications and systems
  • Integrate data standards into workflow, creating, documenting and gaining agreement on data
  • Drive accountability of data workflow through policies and procedures
  • Measure and drive improvement in quality for master data elements
  • Support and reinforce change management efforts related to data and analytics initiatives
  • Conduct external research and develop strategies for analytics
  • Suggest new applications and solutions that will improve and support data and information analyses
  • Drive ad hoc detailed financial and strategic analysis of operations, markets, industry, competitors and customers
  • Work with strategic analytics, data science, and data engineering personnel to evaluate and implement emerging solutions such as machine learning, artificial intelligence, and predictive analytics Core Skills and Qualifications:The ideal candidate must possess all of the following:
    • Bachelor's degree required; an emphasis in Analytics or related field preferred; Master's degree, preferred. An equivalent combination of education and experience will be considered.
    • Ten (10) years of experience conducting complex data analysis; cross-functional business analysis preferred
    • Five (5) years of management experience required; experience leading others in Analytics roles, preferred
    • Experience with data management and/or data governance experience with some experience in establishing and implementing data management structure and/or data governance, preferably in a manufacturing or consumer products company
    • Demonstrated acumen with business intelligence or analytics software, including visualization tools such as PowerBI, Tableau, etc.
    • Demonstrated acumen with key business performance metrics
    • Demonstrated business acumen and experience in manufacturing industry, preferably cross-functional
    • Strong collaboration and facilitation skills
    • Excellent written, verbal, and interpersonal communication skills necessary in order to persuade and influence decision making and to explain complex issues
    • Strong analytical and quantitative skills, including financial analysis
    • Demonstrated ability to break down complex problems into pieces that can be solved with data, analysis, assumptions, and judgment
    • Willingness and ability to organize and lead ambiguous initiatives
    • Excel skills to include the ability to work with pivot tables, modeling, complex spreadsheets, algorithms, analysis tools, and presenting quantitative analysis
    • High degree of personal and professional credibility, including responsiveness, business focus, integrity, sound judgment, and ability to prioritize effectively across competing demands
    • Ability to assess solutions across multiple business areas
    • Ability to connect seemingly unrelated information, as well as the ability to execute on ideasPreferred Skills and Qualifications:
      • Experience with business strategy
      • Experience working with SAP
      • Experience in professional data science
      • Experience with data modeling, data extraction, data mapping
      • Understanding of statistical and machine learning concepts and experience in employing these using Python, R, SAS, etc

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