Role: Technical Lead
Industry Type: Industrial Equipment / Machinery
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: Software Development
UG: Any Graduate
PG: MBA/PGDM in Any Specialization, Any Postgraduate
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 lifecycle from identifying and prioritizing opportunities to delivering measurable business outcomes while 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 Bachelor s degree in Information Systems, Computer Science, Engineering, Business, or related field (Master s/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 go