#ACN GN - SC&O - BPM - Process Mining - Data Engineering - Manager
Accenture in India · Pune City, Maharashtra, India
- On site
- Full-time
- ₹1,800,000 / year
- Pune City, Maharashtra, India
Job highlights
- Build data pipelines and models for process mining.
- Develop and maintain ETL for process mining.
- Analyze data using Celonis, Signavio, Power Automate.
- Collaborate with stakeholders for process improvements.
- Contribute to business development initiatives.
About the role
Job Title: Process Mining Data Engineering Manager
Management Level: Consultant
Location: Bangalore / Mumbai / Gurugram / Pune
Must-have skills: Process Mining tool
Good-to-have skills:
- Strong analytical skills to reach clear-cut, methodical solutions.
- Ability to solve complex business/technical problems and deliver client delight.
- Excellent communication, interpersonal and presentation skills.
- Cross-cultural competence with an ability to thrive in a dynamic environment.
- Ability to lead technical teams in all types of conditions.
Job Summary
As a Design and Implementation Engineer, you will build data pipelines and data models for process mining projects, encompassing data collection, transformation, and loading. You will be responsible for creating and maintaining an ETL layer for process mining with best practices, and developing/maintaining process data models to support process analysis and visualization. You will analyze and process data using process mining tools such as Celonis, Signavio, and Power Automate Process Mining. Collaboration with business stakeholders to identify process improvement opportunities and the development and implementation of solutions based on process mining insights are key. You will also document and maintain process mining documentation and assist in dashboard development using tools like Celonis and Signavio. Contributing to business development initiatives and demonstrating the ability to solve complex business problems is also expected.
Roles & Responsibilities
- Design and implement data pipelines and data models for process mining projects, including data collection, transformation, and loading.
- Create and maintain an ETL layer for process mining with best practices.
- Develop and maintain process data models to support process analysis and visualization.
- Analyze and process data using process mining tools such as Celonis, Signavio, and Power Automate Process Mining.
- Collaborate with business stakeholders to identify process improvement opportunities.
- Develop and implement process improvement solutions based on process mining insights.
- Document and maintain process mining documentation.
- Aid and assist in dashboard development of process mining using tools like Celonis, Signavio etc.
- Contribute to business development initiatives and display ability to solve complex business problems.
Professional & Technical Skills
- MBA from Tier 1 B-school.
- 2+ years of experience with an understanding of process mining.
- Hands-on experience identifying value opportunities using any Process Mining tool (e.g., Celonis/Signavio).
- Certified expertise as a functional value architect for process discovery and mining tools like Celonis, Signavio, Power Automate Process Mining.
- Conceptual understanding of as-is processes in supply chain and ability to design to-be processes.
- Good understanding/experience of process mining in SAP transformations or supported mining/process design/journey definition initiatives in SAP projects.
- Experience with automation solutions is a plus.
- Knowledge of data collection approach, data cleansing, data modeling, process discovery, process analysis, and insights.
- Strong communication skills, especially around breaking down complex structures into digestible and relevant points for a diverse set of clients and colleagues, at all levels.
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- 5+ years of experience in data engineering or a related field.
- Experience with data modeling, data transformation, and data analysis.
- Experience with SQL, MySQL etc. is critical for creating data models.
- Knowledge of data collection approach, data cleansing, data modeling, process discovery, process analysis, and insights.
- Experience with Python is a plus.
- Strong experience with process mining tools such as Celonis, Signavio, and Power Automate Process Mining.
- Certified expertise as a data analyst for process discovery and mining tools like Celonis, Signavio, Power Automate Process Mining etc.
- Good understanding/experience of process mining in SAP transformations or supported mining/process design/journey definition initiatives in SAP projects.
- Strong communication skills, especially around breaking down complex structures into digestible and relevant points for a diverse set of clients and colleagues, at all levels.
Additional Information
- Target Industry/Sectors: FMCG, Retail, Consumer Products, Oil & Gas, Pharma
- Experience: 3-6 years
- Educational Qualification: MBA / Master’s degree in Industrial Engineering, Operations Management, or Supply Chain Management, or an Engineering Degree.
Key skills/competency
- Process Mining
- Data Engineering
- ETL
- Data Modeling
- Celonis
- Signavio
- Power Automate Process Mining
- SQL
- SAP Transformations
- Analytical Skills
Skills & topics
- Process Mining
- Data Engineering
- ETL Developer
- Data Modeling
- Celonis
- Signavio
- Power Automate
- SQL
- SAP
- Manager
- Consultant
- Accenture
- Data Analysis
- Supply Chain
How to get hired
- Tailor your resume: Highlight process mining, data engineering, and ETL skills.
- Showcase tool proficiency: Emphasize experience with Celonis, Signavio, or Power Automate.
- Quantify achievements: Use data to demonstrate impact in previous roles.
- Prepare for behavioral questions: Practice scenarios related to problem-solving and leadership.
- Network with Accenture professionals: Gain insights into their culture and hiring process.
Technical preparation
Master SQL and data modeling techniques.,Practice with Celonis, Signavio, or Power Automate.,Understand ETL best practices and data pipelines.,Review SAP transformation processes.
Behavioral questions
Describe a complex problem you solved.,How do you lead technical teams?,How do you collaborate with stakeholders?,How do you handle dynamic environments?
Frequently asked questions
- What specific process mining tools are most important for this Accenture Manager role?
- For the Process Mining Data Engineering Manager role at Accenture India, strong experience with tools like Celonis, Signavio, and Power Automate Process Mining is highly valued. Demonstrating hands-on experience with at least one of these is crucial, and certified expertise is a significant advantage.
- What is the expected experience level for the Accenture Process Mining Manager position?
- Accenture is looking for candidates with a range of experience, typically between 3-6 years. While a Bachelor's degree is required, an MBA from a Tier 1 B-school is a plus. Specific experience in data engineering and process mining is essential.
- Does Accenture India require specific educational qualifications for this Process Mining role?
- Yes, a Bachelor's degree in Computer Science, Data Science, or a related field is required. Additionally, an MBA or Master's degree in Industrial Engineering, Operations Management, or Supply Chain Management is preferred, especially from a Tier 1 B-school.
- How important is SAP experience for this Accenture Data Engineering Manager role?
- Experience with process mining in SAP transformations or supporting mining/process design/journey definition initiatives in SAP projects is considered a strong advantage for this role at Accenture India. It demonstrates an understanding of complex enterprise systems.
- What kind of analytical and problem-solving skills are needed for this Accenture job?
- This role demands strong analytical skills to develop methodical solutions and solve complex business/technical problems. You should be able to analyze data using process mining tools and collaborate with stakeholders to identify and implement process improvement opportunities.
- What are the key responsibilities of an Accenture Process Mining Data Engineering Manager?
- Key responsibilities include designing and implementing data pipelines and models for process mining, creating and maintaining ETL layers, analyzing data with process mining tools, collaborating with stakeholders on improvements, and contributing to business development.
- Are there opportunities for career growth in Process Mining at Accenture India?
- Accenture typically offers strong career development paths. As a Manager-level consultant, you would be expected to lead teams, contribute to business development, and grow your expertise in the in-demand field of process mining and data engineering.