Deloitte - Assistant Manager/Deputy Manager - Process Mining

Assistant Manager

Deloitte's Center for Process Bionics (CPB) is designed to orchestrate innovative and high return Process Transformation. CPB combines unparalleled sector experience with a proven set of modern methodologies, next-gen technology solutions and assets to create an integrated solution to help clients identify significant process improvement opportunities.

Work you'll do

Responsibilities typical of an Assistant Manager on one of these projects could include:

- Use process mining technology to identify process inefficiencies and understand the root causes, always in close collaboration with the client and help them drive significant value out of using process mining

- Translate Client's strategic objectives into high-impact process mining use cases

- Understand and able to interpret business processes and can easily stay on top of things despite their complexity

- Conduct Process Mining and Process Modelling using data-driven, automated, visualization tools

- Facilitate client interviews and client meetings to understand the business processes, request data and collect key performance metrics

- Define ideal processes and quantify impact of process changes (e.g., automation, outsourcing)

- Conduct detailed analyses to draw conclusions, and develop pertinent and insightful recommendations

- Design deliverable content to reflect analyses conducted and recommendations

- Present findings to client leadership

- Anticipate risks associated with timely and high-quality delivery of project and escalate the same to project management and leadership

Qualifications

- Bachelor's degree from accredited university with strong undergraduate academic record

- 4-5 years of professional or consulting experience

- Minimum 2-3 years of professional experience working as SAP functional consultant in FI/CO, MM, SD module

- Minimum 3 years of experience with process mining, process mapping, process transformation, process sustainability

- Understanding of data structures in SAP ERP system

- Working knowledge/understanding of databases, ETL and SQL skills required to deliver process mining projects

- Working knowledge of one or more tools used in the process mining and process transformation space, e.g.: Signavio (SAP Solution Manager), Celonis, Process Gold (Uipath)

- Coding using Python or any other programming language will be preferred

- Exposure to connecting host applications like SAP Ariba, Salesforce, SuccessFactors, Servicenow (SNOW)

- Demonstrates consistent career progression with increasing levels of responsibility

- Competent in Microsoft Excel and PowerPoint

Preferred

- Data Science or Industrial Engineering degree a plus

- Hands on experience with next gen technologies including RPA

- Hands on experience with data visualization tools like Tableau, Spotfire, Qlik sense etc.

- Broad knowledge of ERP systems

- Desktop activity mining experience

- Professional experience with project management and program analysis

- Professional competence in Microsoft PowerPoint, Visio, and Access

- Superior critical thinking, analytical and problem-solving skills

- Exceptional interpersonal, team-building and communication skills

- Ability to build consensus and foster change in a client business setting with executive level stakeholders

- Commitment to personal and professional growth

- Sense of responsibility to self, team and client

- Outstanding integrity, initiative, creativity, and passion

- Ability to work in an ambiguous environment