Process Intelligence Senior Specialist

Senior Specialist in Process Intelligence Team

The Process Intelligence and Experience Design organization serves as a strategic enabler of enterprise transformation. We bring end-to-end visibility to business processes, connect data and user insights to decision making and ensure that optimization precedes automation. Our mandate is to architect optimized, insight driven processes and experiences that deliver measurable business outcomes, enabling scalable transformation, digital acceleration and adoption.

As a Senior Specialist in the Process Intelligence team, you will interact with stakeholders globally to:

• Take responsibility and lead for elements of strategic project work streams.
• Collaborate & Partner with stakeholders to gather, document, and analyse business requirements.
• Leverage knowledge of core systems to locate appropriate process data.
• Partner with data owners to identify data sources that can be leveraged in process models.
• Produce process models using relevant applications.
• Demonstrate process models and data driven recommendations to end users.

Key Responsibilities:

Business Process Modelling & Requirements Gathering

• Leads the modelling of current-state and desired business process scenarios, applying corporate modelling standards, definitions, techniques (e.g. BPMN – Business Process Modelling and Notation) and utilizing corporate sanctioned modelling tools (e.g. CPM - Celonis Process Modelling)

• Conduct analyses of current business processes to identify inefficiencies and opportunities for solutions that leverage AI, Automation or Process Intelligence technologies. Utilize process mapping and modelling techniques to visualize workflows.

• Collaborate with stakeholders to gather, document, and analyse business requirements related to automation, AI, and process initiatives. Facilitate and leads workshops, interviews, and surveys to elicit functional and non-functional requirements and turn them into testable User Stories.

• Coordinates with stakeholders to gain alignment & agreement on produced models supporting Engineering & Platforms teams.

• Captures relevant business context and process understanding to be leveraged for AI and/or Agentic AI solutions.

Business Process Architecture & Value Analysis

• Leads, develops, and analyses data driven POV/POC process mining models (simple single object digital twins) to validate assumptions on defined processes.

• Supports all phases of the development of business process digital twins ensuring deliverables are completed including defining, documenting, and ensuring traceability of requirements, SDLC documentation, user Acceptance Testing, validation of the identified data sources and data profiling of processes' digital footprints, sustainment activities to Digital Twins and their KPI Control Towers and associated assets resulting from process updates.

• Leverages their knowledge and experience of the process intelligence tool set of (1) process models (2) task mining and mapping and (3) digital twins, to lead analysing and documenting inefficiencies and improvement opportunities for defined business processes.

• Pinpoints, scopes and prioritizes the identification of process adherence to generate value opportunities and in the development of KPI's based on data points and business opportunity needs.

• Experience with data transformation concepts and ETL workflows to trace data lineage, validate process mining datasets, and translate business process requirements into data specifications.

Business Analysis

• Supports and leads core elements of the Software Development Life Cycle (SDLC) phases, including planning, design, development, testing, deployment, and maintenance. Create and maintain clear and comprehensive documentation throughout the SDLC process, including requirements specifications, design documents, test plans, and user manuals, ensuring all relevant information is accessible for current and future reference.

• Leads and collaborates with relevant teams to develop test cases and test scripts for automated and AI-driven solutions. Support user acceptance testing (UAT) to ensure solutions meet business needs.

Consulting, Stakeholder Engagement & Project Management Support

• Engage with stakeholders at all levels to communicate findings, present recommendations, and ensure alignment with business objectives. Maintain ongoing relationships for feedback and continuous improvement.

• Stay updated on industry trends and emerging technologies in Automation, AI, and Process Intelligence. Proactively recommend process improvements and automation opportunities that integrate AI capabilities.

• Leads the definition, documentation and execution of projects or sub-projects.

• Collates information and create reports to support strategy and change management efforts with stakeholders.

Qualifications:

• Bachelor's or higher in Mathematics, Statistics, Economics, Business Information Systems, Engineering, Computer Science/MIS, Finance/Accounting, Engineering or Science.

• At least 3 years of relevant work…