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    Process Mining - chennai, India - Ford Motor Company

    Ford Motor Company
    Ford Motor Company chennai, India

    1 week ago

    Default job background
    Full time
    Description

    Support the delivery of process mining projects utilizing tools like Celonis, to ensure operational excellence, daily workload management thru agile methodology and maximum client satisfaction. Support the development and operation of the Process Mining Center of Excellence (CoE).

  • Project Management and Delivery: Oversee the complete lifecycle of process mining projects from initiation to closure, ensuring timely delivery within scope and budget; own the daily management thru sprint planning, velocity & workload management
  • Stakeholder Management: Serve as the primary liaison for Business, project teams, and internal and external stakeholders, ensuring effective communication and expectation management.
  • Team Mentorship: Mentor a team of process mining analysts and consultants, identify skill gaps thru daily deliverable management, skill gap assessments, & providing inputs to leadership on addressing skill enhancement and / or people related issues.
  • Process Improvement: Utilize process mining tools like Celonis to analyze, visualize, and optimize business processes, identifying inefficiencies and opportunities for improvement.
  • Solution Design: Work with technical teams to create and implement process mining solutions that meet specific Business needs.
  • Analysis and Support: Analyze supply chain, logistics, production, or support processes with your team using advanced technologies and data-based modeling. Assist business customers in integrating real-time data into decision-making and process execution.
  • Quality Assurance: Uphold high standards of quality for all deliverables, aligning with company and client expectations by employing best practices in project management and process mining.
  • Reporting: Generate detailed reports on project status, insights from process mining analysis, and improvement recommendations for stakeholders.
  • CoE Support: Contribute to the establishment and management of the Process Mining CoE, promoting best practices and knowledge sharing. Take professional accountability and closely collaborate with business partners and process re-engineers.
  • Growth and Quality Focus: Support the acquisition of new projects and business areas, develop intellectual property, and integrate service offerings with emerging technologies. Foster a culture of Process & Operation Excellence through collaboration across the organization.
  • Educational Background: Advanced degree in Business Administration, Industrial Engineering, Computer Science, Mathematics, or related fields.
  • Experience: 3-5 years in project management, with significant expertise in process mining, business intelligence, and data analytics. Strong preference for experience with Celonis, Qlik Sense, and Alteryx.
  • Expertise: Specialization in process consulting & management, technology consulting, data mining, business intelligence, big data, cloud computing, machine learning, BPM, Lean, Six Sigma.
  • Certifications: Six Sigma Green Belt or Black Belt certification preferred. Additional certifications in project management (PMP, Agile, Scrum) or data analytics beneficial.
  • Technical Proficiency: Proficiency in at least one tool: SQL, Spark, BI tools (Alteryx, Tableau, Qliksense), Cloud platforms (Google/AWS/Azure), or Process Modeling & Mining Tools (Celonis, Signavio).
  • Additional Experience: Familiarity with process management, common programming languages (Java, Python), ERP systems (SAP, Oracle), deep learning, random forests advantageous.
  • Personal Qualities: High commitment, strong leadership, team orientation, analytical and conceptual thinking, goal-oriented, agile methodology, passion for complex projects.
  • Communication Skills: Exceptional ability to communicate effectively with technical teams, business stakeholders, and clients.
  • Adaptability and Innovation: Flexible and innovative approach to rapidly changing project requirements and technology landscapes.
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