Delivery Leader Intelligent Automation (RPA, Process Mining & Agentic Delivery)

Delivery Leader - Intelligent Automation (RPA Process Mining & Agentic Delivery)

Are you excited about the opportunity to contribute to an industry leader in Energy Technology

Are you interested to join Intelligent Automation team

Partner with the best

As a Delivery Leader of Intelligent Automation leads the enterprise strategy and delivery for Robotic Process Automation (RPA) Process Mining and Agentic AI solutions (AI agents that plan execute and orchestrate work across systems). This role owns the end-to-end automation lifecyclefrom identifying and prioritizing opportunities to delivering measurable business outcomeswhile establishing governance reusable frameworks and scalable operating models. The delivery leader partners with Data & AI business functions leaders and other delivery leaders to modernize processes improve productivity enhance compliance and accelerate time-to-value using automation and AI.

As a Delivery Leader of Intelligent Automation you will be responsible for:

• Establishing a scalable automation and agentic delivery operating model with clear intake prioritization and governance.
• Delivering a balanced portfolio of RPA process mining insights and agentic solutions that drive measurable ROI (cycle time reduction cost savings error reduction control improvements).
• Enabling automation opportunities using process mining and value-stream analysis.
• Building and mentors a high-performing team of automation engineers process analysts and product owners.
• Deploying automation responsibly with strong security auditability reliability and change management.

Strategy Portfolio & Value Realization

• Defining and executing the enterprise intelligent automation strategy across RPA process mining and agentic AI.
• Delivering Data & AI Office business functions automation
• Establishing value measurement methods (e.g. hours returned cycle time reductions defect reduction compliance improvements CSAT).

Process Mining & Operational Intelligence

• Stand up and mature process mining capabilities to:
  • Identify bottlenecks rework and non-compliance patterns
  • Quantify opportunity sizing and automation feasibility
  • Validate benefits post-deployment via continuous monitoring
• Partner with Data & AI Office business function leaders to drive process standardization and simplification before/alongside automation.

RPA Delivery & Run Operations

• Leading delivery of RPA solutions across functions (Finance Sourcing & Procurement Manufacturing & Logistics Sales & Commercial People & Culture etc.).
• Establishing reusable automation frameworks coding standards test strategies and release management.
• Building a robust run model: bot monitoring incident/problem management capacity planning SLA/OLA management.

Agentic Delivery (AI Agents & Orchestration)

• Defining standards and architecture for agentic solutions including:
  • Agent orchestration patterns (task planning tool use approvals)
  • Human-in-the-loop controls for high-risk actions
  • Safety observability and auditability requirements
• Guiding development teams to integrate agents with enterprise systems using APIs eventing and workflow engines.
• Ensuring responsible AI usage including model governance data boundaries and policy compliance.

People Operating Model & Vendor Management

• Building and leading a multidisciplinary team (process mining analysts RPA developers solution architects product owners QA).
• Managing vendors/partners licenses and platform spend; negotiate contracts and ensure adoption.
• Enabling citizen development where appropriate with guardrails training and quality controls.

Stakeholder Partnership & Change Adoption

• Partnering with Data & AI Office business function leaders to select and execute high-impact opportunities.
• Drivign adoption and change management: communications training and workflow updates.
• Presenting strategy progress and outcomes to executive stakeholders.

Fuel your passion: To be successful in this role you will require:

• Have Bachelors degree in Information Systems Computer Science Engineering Business or related field (Masters/MBA preferred).
• Have 10 years in technology delivery process improvement automation or digital transformation.
• Have 5 years leading teams and enterprise programs with measurable outcomes.
• Have Demonstrated experience building/leading one or more of:
  • RPA capability (CoE or federated model)
  • Process mining capability and value realization
  • AI/agentic workflow delivery in production environments

Intelligent Automation & Delivery

• Have Deep knowledge of RPA delivery lifecycle: discovery design build test deploy run and optimize.
• Have Proven ability to translate business problems into automatable workflows and scalable platforms.
• Have experience designing an automation operating model (CoE hub-and-spoke federated) with governance.

Process Mining & Process Excellence

• Have Strong understanding of process mining concepts: event logs conformance checking bottleneck analysis variants throughput.
• Have Process improvement methods: Lean/Six Sigma value stream mapping root cause analysis.
• Have ability to move from insight to executionusing mining results to drive automation and process redesign.

Agentic AI & Modern Architecture

• Familiarity with agentic patterns:
  • Tool-using agents planner/executor loops orchestration guardrails.
  • Human approval workflows and risk tiering
• Have Understanding of integration patterns: APIs iPaaS message queues/event streaming workflow engines.
• Have Knowledge of observability concepts: telemetry logging tracing and audit trails for automated/agentic actions.

Governance Security and Reliability

• Have Experience implementing controls for automation and AI:
  • Identity and access management secrets least privilege
  • SDLC testing frameworks release controls rollback plans
  • Audit requirements and evidence capture
• Have Operational excellence: incident management monitoring capacity management DR/resiliency considerations.

Leadership & Business Partnership

• Executive communication: can articulate strategy tradeoffs and outcomes with clarity.
• Strong product mindset: prioritization roadmap ownership and stakeholder alignment.
• Coaching and talent development; ability to recruit and retain top technical and analytical talent.

Preferred Qualifications

• Masters degree (MBA/MS) or advanced certifications in automation AI or process excellence.
• Certifications (examples): Lean Six Sigma (GB/BB) ITIL cloud certifications relevant platform certifications.
• Experience delivering automation in regulated environments (SOX data privacy industry compliance).
• Exposure to enterprise analytics platforms and data engineering concepts (event log ingestion data modeling lineage).

Tools / Technology Exposure (Customize to your stack)

• RPA platforms: UiPath Microsoft Power Automate
• Process mining: Celonis UiPath Process Mining
• Workflow & orchestration: ServiceNow Power Platform Airflow (or equivalents)
• AI/Agentic: Azure OpenAI / OpenAI tooling Microsoft Copilot Studio custom agent orchestration
• DevOps: Azure DevOps / GitHub CI/CD automated testing IaC concepts
• Observability: Splunk App Insights Datadog (or equivalents)

Key Interfaces

• Data & AI Office functional leaders (Finance Supply Chain HR Sales Ops Customer Service)
• CIO/CTO org Enterprise Architecture Security Risk/Compliance Internal Audit
• Change Management and Training/Enablement teams

Performance Metrics

• Annualized value realized (cost savings productivity hours returned)
• Cycle time / throughput improvement for targeted processes
• Automation reliability (bot uptime failure rate MTTR)
• Compliance improvements (rework reduction conformance rate)
• Adoption metrics (active automations user satisfaction reuse rate)
• Delivery efficiency (time-to-production release frequency)