Aon—Engineering Lead

Job description

Description: Job Title- Engineering Lead Position type- Full Time ARL- 5 Work Location-Bangalore Working style- Hybrid People Manager role: No Required education and certifications critical for the role- Any Graduate or Post-Graduate (full time) Required years of experience – Minimum 12+ years of relevant experience Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed. Engineering Lead Aon M&A and Transaction Solutions Global Data & Analytics, Aon Purpose of Role The Engineering Lead (EL) is the single point of engineering accountability for a product. They are paired with a Product Owner as co-equal leaders in the yin-yang model: the Product Owner defines what to build; the EL owns how to build it and is accountable for all engineering delivery. The EL line-manages the cross-functional product team day-to-day, assembling the right skills from functional pools (AI Engineering, Data Engineering, Software Engineering, QA, SRE, etc.). Key Accountabilities End-to-End Engineering Delivery Own the full engineering delivery lifecycle for assigned product(s): architecture, development, testing, deployment, and operations Support SM with sprint planning, execution, and retrospectives for the product team Ensure on-time, in-scope, production-grade delivery with measurable SDO metrics Maintain delivery forecasts and escalate risks proactively to the diamond (PO, TA, PM) Track and report: deployment frequency, lead time for changes, MTTR, change failure rate Own observability, cost-aware design, and FinOps for the product Technical Excellence & Architecture Alignment Ensure all engineering work aligns with enterprise architecture standards and the convergent platform strategy Partner with Technical Authorities to maintain design quality — no significant build without TA review Track and proactively reduce technical debt within the product Drive adoption of shared platform components, reusable services, and solution blueprints Own the product’s technology stack decisions within architectural guardrails Cross-Functional Team Leadership Manage the cross-functional product team: engineers from multiple functions working together Compose the team from functional skill pools in collaboration with Heads of Function Support SM to run regular retrospectives with measurable improvement actions Foster psychological safety — engineers should feel safe to experiment, fail fast, and challenge Support SM and PO on driving agile practices consistently: sprint planning, stand-ups, demos with stakeholders, retrospectives Support onboarding, mentoring, and day-to-day skill development within the team Engineering Recruitment & Team Composition Engineering recruitment authority sits with the EL and Head of Function, NOT with Product Identify skills gaps within the product team and work with the Head of Function to fill them Participate in hiring panels and technical interviews for the product team All contractor and supplier engagements must go through engineering governance — no unilateral offers Product-Engineering Alignment (Yin & Yang) Operate as the PO’s co-equal engineering partner in the product diamond Attend and co-lead product roadmap planning sessions Provide engineering input on feasibility, effort estimation, and trade-offs Communicate engineering progress, risks, and dependencies transparently to all stakeholders Drive demos and showcases with business stakeholders to build trust and visibility Neither the PO nor the EL reports to the other — they are co-equal partners with distinct accountabilities Cross-Site Collaboration & Engineering Culture Lead effectively across Dublin, Bengaluru, Krakow, and Singapore as required by product team composition Ensure equitable involvement of all sites in design decisions, code reviews, and demos Contribute to Core Engineering knowledge sharing: chapters, guilds, communities of practice Maintain in-person touchpoints as per site guidelines Skills & Experience Required Essential 12+ years in software/data/AI engineering, with 3+ years leading cross-functional teams Strong technical depth in at least one discipline (T-shaped) with breadth across others Proven delivery track record: shipping production-grade products on time and at quality Experience with agile delivery, CI/CD, DevSecOps, and cloud-native architectures Ability to communicate technical concepts to non-technical stakeholders Collaborative leadership style — coaching over directing, enabling over controlling Experience working across multiple geographies and time zones Desirable Experience in a dual-leadership or matrix model (PO + EL pairing) Familiarity with Aon’s technology stack (Azure, Databricks, OpenAI, LLMs, RAG) Background in financial services, insurance, or data analytics domains Pi-shaped profile: deep expertise in two disciplines (e.g., AI + Platform, Data + Backend) 2586916 Responsibilities: Job Title- Engineering Lead Position type- Full Time ARL- 5 Work Location-Bangalore Working style- Hybrid People Manager role: No Required education and certifications critical for the role- Any Graduate or Post-Graduate (full time) Required years of experience – Minimum 12+ years of relevant experience Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed. Engineering Lead Aon M&A and Transaction Solutions Global Data & Analytics, Aon Purpose of Role The Engineering Lead (EL) is the single point of engineering accountability for a product. They are paired with a Product Owner as co-equal leaders in the yin-yang model: the Product Owner defines what to build; the EL owns how to build it and is accountable for all engineering delivery. The EL line-manages the cross-functional product team day-to-day, assembling the right skills from functional pools (AI Engineering, Data Engineering, Software Engineering, QA, SRE, etc.). Key Accountabilities End-to-End Engineering Delivery Own the full engineering delivery lifecycle for assigned product(s): architecture, development, testing, deployment, and operations Support SM with sprint planning, execution, and retrospectives for the product team Ensure on-time, in-scope, production-grade delivery with measurable SDO metrics Maintain delivery forecasts and escalate risks proactively to the diamond (PO, TA, PM) Track and report: deployment frequency, lead time for changes, MTTR, change failure rate Own observability, cost-aware design, and FinOps for the product Technical Excellence & Architecture Alignment Ensure all engineering work aligns with enterprise architecture standards and the convergent platform strategy Partner with Technical Authorities to maintain design quality — no significant build without TA review Track and proactively reduce technical debt within the product Drive adoption of shared platform components, reusable services, and solution blueprints Own the product’s technology stack decisions within architectural guardrails Cross-Functional Team Leadership Manage the cross-functional product team: engineers from multiple functions working together Compose the team from functional skill pools in collaboration with Heads of Function Support SM to run regular retrospectives with measurable improvement actions Foster psychological safety — engineers should feel safe to experiment, fail fast, and challenge Support SM and PO on driving agile practices consistently: sprint planning, stand-ups, demos with stakeholders, retrospectives Support onboarding, mentoring, and day-to-day skill development within the team Engineering Recruitment & Team Composition Engineering recruitment authority sits with the EL and Head of Function, NOT with Product Identify skills gaps within the product team and work with the Head of Function to fill them Participate in hiring panels and technical interviews for the product team All contractor and supplier engagements must go through engineering governance — no unilateral offers Product-Engineering Alignment (Yin & Yang) Operate as the PO’s co-equal engineering partner in the product diamond Attend and co-lead product roadmap planning sessions Provide engineering input on feasibility, effort estimation, and trade-offs Communicate engineering progress, risks, and dependencies transparently to all stakeholders Drive demos and showcases with business stakeholders to build trust and visibility Neither the PO nor the EL reports to the other — they are co-equal partners with distinct accountabilities Cross-Site Collaboration & Engineering Culture Lead effectively across Dublin, Bengaluru, Krakow, and Singapore as required by product team composition Ensure equitable involvement of all sites in design decisions, code reviews, and demos Contribute to Core Engineering knowledge sharing: chapters, guilds, communities of practice Maintain in-person touchpoints as per site guidelines Skills & Experience Required Essential 12+ years in software/data/AI engineering, with 3+ years leading cross-functional teams Strong technical depth in at least one discipline (T-shaped) with breadth across others Proven delivery track record: shipping production-grade products on time and at quality Experience with agile delivery, CI/CD, DevSecOps, and cloud-native architectures Ability to communicate technical concepts to non-technical stakeholders Collaborative leadership style — coaching over directing, enabling over controlling Experience working across multiple geographies and time zones Desirable Experience in a dual-leadership or matrix model (PO + EL pairing) Familiarity with Aon’s technology stack (Azure, Databricks, OpenAI, LLMs, RAG) Background in financial services, insurance, or data analytics domains Pi-shaped profile: deep expertise in two disciplines (e.g., AI + Platform, Data + Backend)