The Associate Director, Operations Insights Automation will lead the Asia Operations data insights and automation portfolio, working closely with a team of five data engineers to deliver scalable insights, KPI automation, dashboards, and data solutions across key Operations value streams.
The role will serve as a key link between regional, market, and global stakeholders, the Data Office, and Technology partners, translating business priorities into scalable solutions while driving delivery excellence, team capability, data governance, and adoption .
Position Responsibilities:
Regional insights and automation portfolio management
- Support the Head of Asia Operations Insights Automation and Low Code Solutions in managing the regional portfolio, roadmap, priorities, and delivery commitments.
- Lead the intake, assessment, prioritization, and delivery planning of new dashboard, KPI, data-insight, and automation requirements.
- Maintain clear visibility of scope, milestones, risks, dependencies, resourcing, decisions, and delivery outcomes.
- Coordinate delivery across Asia markets and Operations value streams, aligning regional standards with market requirements.
- Assess requests against business value, strategic alignment, delivery effort, data readiness, operational risk, and long-term supportability.
Business analysis and insight development
- Partner with regional value-stream leaders, market Operations teams, Business Management, Risk and Control, Data, and Technology to clarify objectives and reporting needs.
- Translate business problems into structured requirements, KPI definitions, functional specifications, data requirements, user stories, and acceptance criteria.
- Conduct current-state and gap analysis across processes, systems, data sources, reporting logic, controls, and operating models.
- Lead the development of actionable insights beyond routine reporting, including productivity drivers, service outcomes, financial impact, cost and benefit realization, adoption, and operational risk indicators.
- Challenge unclear or conflicting requirements constructively and facilitate alignment on definitions and expected outcomes before development begins.
KPI, dashboard, and data automation delivery
- Lead end-to-end delivery of KPI automation, dashboards, and insight solutions from discovery and design through development coordination, testing, deployment, hypercare, and ongoing enhancement.
- Work with data engineers and solution architects to translate business logic into scalable data models, automated calculations, and reporting solutions.
- Oversee changes arising from product or system updates, source-data changes, KPI-definition revisions, migrations, and new management requirements.
- Ensure calculation logic, source-to-report mappings, data dictionaries, validation evidence, assumptions, and decision records are complete and maintained.
- Coordinate the investigation and resolution of data-quality, pipeline, access, reconciliation, and reporting issues with market Data and Technology teams.
Stakeholder and delivery leadership
- Serve as a primary regional contact for Operations insights and automation initiatives, engaging regional, market, and global stakeholders.
- Facilitate workshops and decisions involving regional, market, and global business owners, subject-matter experts, data engineers, IT, the Data Office, Risk, and Control partners.
- Manage team capacity, objectives, development plans, performance, and succession readiness to sustain delivery capability.
- Lead, coach, and develop team members while coordinating offshore and cross-functional resources, setting clear expectations, and strengthening accountability and performance.
- Communicate progress, risks, dependencies, decisions, trade-offs, and required actions to senior stakeholders in a timely manner.
- Prepare concise executive updates, recommendations, decision materials, portfolio reports, and team communications.
- Manage expectations and escalation unresolved ownership, scope, data, resourcing, quality, or timeline issues when required.
Capability building and continuous improvement
- Identify reusable analytical approaches, delivery templates, business definitions, data models, controls, and practices that can scale across markets.
- Support capability uplift through training, knowledge sharing, community sessions, practical use cases, and coaching.
- Promote self-service analysis and responsible adoption of Power BI, Power Platform, Copilot Studio, and other approved data and AI capabilities.
- Monitor relevant industry and technology developments and recommend practical improvements to the team's insight, automation, and delivery capabilities.
Required Qualifications:
- Bachelor's degree in Business Analytics, Data Science, Information Systems, Computer Science, Engineering, Operations Management, or a related discipline.
- Typically 10 or more years of relevant experience in data analytics, business intelligence, business analysis, transformation, automation, projec