APAC Data & AI Enablement Director

RGA

Kuala Lumpur

On-site

MYR 600,000 - 900,000

Full time

5 days ago

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Job summary

RGA seeks an Executive Director, Data & AI Enablement for APAC, on-site in Kuala Lumpur. You will champion the data and AI enablement agenda, set the regional roadmap, and align priorities with enterprise strategy while promoting responsible adoption across markets.

Lead translation of business problems into scalable data/AI solutions, partner with platforms to scale reusable capabilities, drive adoption and value realization, and build regional AI capability with governance and risk controls,

Qualifications

Bachelor’s Degree in Engineering, Math, Statistics, Actuarial Science, Finance, Economics, Bioinformatics or related field.
Master’s Degree in Engineering, Math, Statistics, Actuarial Science, Finance, Economics, Bioinformatics or related field preferred.
10+ years of experience in data, analytics, AI enablement, digital transformation, innovation, business operations, or technology-enabled change, preferably in insurance, reinsurance, financial services, consulting, or another regulated industry.
5+ years in a leadership role guiding cross-functional teams, vendors, or matrixed delivery groups through ambiguity, competing priorities, and evolving enterprise standards.

Responsibilities

Champion the APAC Data and AI enablement agenda: Act as the visible regional advocate for Data and AI, setting the enablement roadmap, aligning priorities with enterprise strategy and APAC market needs, promoting responsible adoption, and ensuring approved platforms, standards, operating models, reusable assets, and delivery practices are consistently used across the region.
Translate business priorities into scalable Data and AI solutions: Serve as the business translation lead by converting regional and local business problems into clear use cases, requirements, solution options, roadmaps, decision criteria, and measurable outcomes that technology, data, and business teams can execute.
Partner with enterprise platforms to scale reusable capabilities: Work closely with platform, data science, engineering, architecture, and operations teams to connect APAC use cases to approved enterprise platforms, influence platform roadmaps with regional needs, support fit-for-purpose solution design, and accelerate reuse across markets.
Drive adoption, value realization, and stakeholder alignment: Ensure initiatives have clear business ownership, problem statements, benefits cases, adoption plans, KPI baselines, target outcomes, and post-implementation reviews; monitor usage and value delivery, report progress to senior stakeholders, and remove obstacles so Data and AI capabilities become embedded into business-as-usual ways of working.
Build regional AI capability and responsible operating discipline: Establish structured learning pathways, communities of practice, champion networks, playbooks, prompt libraries, hands‑on labs, intake processes, prioritization criteria, decision rights, risk controls, and escalation mechanisms to strengthen sustained AI literacy and responsible day-to-day use across APAC.