Process Mining Consultant
Chennai, Tamil Nadu, India
Ford Motor Company
Since 1903, we have helped to build a better world for the people and communities that we serve. Welcome to Ford Motor Company.Support the delivery of process mining projects utilizing tools like SAP Signavio
- Delivery Management : 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
- 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.
- Stakeholder Management: Serve as the primary liaison for Business, project teams, and internal and external stakeholders, ensuring effective communication and expectation management.
- Process Improvement: Utilize process mining tools to generate and analyse as-is 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.
Growth and Quality Focus: Support the acquisition of new projects and business areas 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 process mining implementation in Supply chain (Procurement, Logistics) / Finance / Accounting verticals with SAP & non-SAP source systems
- 2-3 years of implementation of hybrid process mining (task mining + process mining) across different verticals and delivering value to the organization
- Technical Proficiency:
- Mandatory experience in Process Mining using tools like SAP Signavio, Celonis, etc
- Proficiency in ETL & data handling using any one tool (Alteryx, Tableau, SQL, etc)
- Proficiency in developing insights using any one tool (Qliksense, Power BI)
- Knowledge of SAP implementation across workstreams (Ariba, S/4 Hana, MRP, MMP, etc)
- Knowledge of Cloud platforms (Google/AWS/Azure) and developing connectors with SaaS based process mining tools (Celonis, Signavio, etc)
- 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.
- Additional Experience: Familiarity with process mapping / value stream mapping, common programming languages (Java, Python), ERP systems (SAP, Oracle), is desirable.
- 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure Big Data Business Intelligence Computer Science Consulting Data Analytics Data Mining Engineering ETL Finance Industrial Java Machine Learning Mathematics Oracle Power BI Python Scrum SQL Tableau
Perks/benefits: Career development Startup environment
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