Associate Director , Business Architecture
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Job Description
About the role:
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 an Associate Director in the Process Intelligence team, you will play a pivotal consultative role in partnering across business, technology and product organizations to drive structured process discovery, architect future-state designs and translate insights into measurable performance improvement. The role blends strategic advisory capability, analytical rigor and facilitation expertise to shape process transformation initiatives. In this role, you will interact with stakeholders globally to.
Identify and take ownership of opportunities and driving business process improvements with transformational impact
Develop a deep understanding of client needs, effective stakeholder management, and the ability to translate complex processes and data into actionable insights that align with organizational goals & strategy
Collaborate & Partner with stakeholders to gather, document, and analyze 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:
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.
Lead process discovery session across or within functions and value streams to uncover process friction, systemic bottlenecks, role ambiguity and value leakage
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.
Take ownership of collating information and creating reports to support strategy and change management efforts with stakeholders
Business Process Modelling & Requirements Gathering
Takes accountability for modelling 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 and own advanced analyses of current business processes to identify inefficiencies and opportunities for optimal solutions which may leverage AI, Automation or Process Intelligence technologies. Utilize process mapping and modelling techniques to visualize workflows.
Collaborate with stakeholders to gather, document, and analyze 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 as needed.
Owns, drives, scopes and prioritizes requirements for large initiatives for the development of Business Process Digital Twin objects and events, its associated KPI Control Towers and other associated assets, ensuring their traceability and formal agreement with process owners
Ensures that relevant business context and process understanding is captured and leveraged for AI and/or Agentic AI solutions
Business Process Architecture & Value Analysis
Synthesize qualitative insights with quantitative data (process mining, task mining, KPIs) to establish baseline performance and root cause analysis.
Ensures all phases of the development of business process digital twins 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
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