Talent Analytics Product Lead

Aon is hiring a Talent Analytics Product Lead in Singapore, Singapore. Level rates it ; you can apply on Aon.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Level classes it as a lead role.
Aon has 1,000+ other open roles on Level.

AI in this role

Talent Analytics Product Lead 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. What the day will look like Own end-to-end technical delivery of Talent analytics products - build, QA, and release, not just analysis Lead the "how": convert business requirements into an actionable build plan, and drive execution across global/distributed engineering teams Articulate the "why" behind engineering decisions and options clearly for non-technical stakeholders to make informed trade-offs, ontop of report status and explain the reasoning Cultivate and handle relationships with senior stakeholders and business partners across a matrixed organization, driving alignment on scope, priorities, and timelines. Make sound decisions within scope of authority, with clear judgment on what requires broader escalation Evaluate trade-offs - cost, feasibility, best practice - and communicate them clearly when scoping new requests Part of the Analytics Capability Lead's team and assists in executing the broader analytics roadmap, ensuring Talent-specific delivery aligns with overall capability strategy and objectives Lead, hire, and develop a team of analytics professionals across geographies Build and maintain process standards within the field: documentation, QA standards, and decision tracking Skills and experience that will lead to success Strong background in people analytics or HR data, ideally with direct experience in compensation benchmarking, survey methodology, or workforce analytics platforms Ability to translate business requirements into technical execution plans, and lead distributed/global engineering teams to deliver against them Strong technical fluency - able to explain the reasoning behind engineering tradeoffs (build vs. buy, timeline vs. scope, technical debt vs. speed) to a non-technical audience Experience operating across time zones and distributed teams, coordinating execution without direct daily oversight of every location Strong written and verbal communication skills People management experience - hiring, developing, and holding a team accountable to a defined standard Comfortable operating with high autonomy and real ownership #LI-HT1 2586535

How we rate this

Talent Analytics Product Lead at Aon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.