Senior Analytics Manager

Senior Analytics ManagerJob type: Full Time · Department: Data · Work type: HybridKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia Job detailsApplication formROLE OVERVIEWStashAway is one of Southeast Asia's leading digital wealth-management platforms, and our Business Intelligence team helps turn the company's data into decisions. We're looking for Senior Analytics Manager to own and grow that team. Someone already running an analytics or data team who multiplies its impact rather than carrying the work alone. You own the team's backlog and outcomes, set priorities to balance team mandates with day-to-day deliverables, partner with senior stakeholders, and own the final call on contested decisions. Your impact is measured by the team's outcomes, not your individual output.You'll also propel our AI-native way of working: our analysts already ship validated analyses through AI-assisted SQL, agentic workflows, and natural-language self-serve. You'll deepen that practice; building reusable AI assets the team adopts while holding a high bar for rigour & trust, and operate with real autonomy over roadmap, priorities, partnering with a Head of Data and the Data Engineering team to deliver the BI team's mandate.KEY RESPONSIBILITIES1. BI Leadership, Delivery & People ManagementOwn the BI team's backlog and outcomes: translate business needs into prioritised work, hold the team to its commitments, and own the final call on contested decisions.Own mentoring and career development for everyone on the team: coaching, candid feedback, growth plans, and clear career paths from junior analysts to senior ICs.Set and uphold the quality bar for SQL, metrics, models, and analyses; steward a single source of truth with clear definitions and lineage, and good engineering practice (version control, documentation, testing, runbooks).Raise the team's autonomy so it runs day-to-day delivery and prioritisation itself, escalating only the strategic calls.2. AI & Analytics StrategyDefine the high-value analysis the team invests in versus reactive ad-hoc work, and shape where self-serve tooling fits within BI's scope.Propel an AI-native operating model: build reusable AI assets (prompts, agents, pipelines, workflows) that the whole team adopts.Govern agentic analytics with evals, guardrails, and human-in-the-loop gates so AI-generated analyses are validated and trusted before they reach stakeholders.Drive adoption of AI-powered self-serve analytics (e.g. natural-language analytics like Databricks Genie) to build company-wide analytics capability so functions can answer more of their own questions over time.3. Stakeholder Management & Business PartnershipPartner with leaders across Product, Marketing, Operations, Finance and the executive team (among other departments) to align BI priorities with business strategy.Own intake and prioritisation across inbound demand, protecting capacity for high-value work; manage capacity and present trade-offs clearly when priorities conflict.Publish and maintain a BI roadmap, and turn ambiguous requests into well-scoped problems.WHAT WE ARE LOOKING FOR1. Required ExperienceYou have directly managed analysts or data professionals as their people manager, owning their performance, growth, and delivery. This is a hard requirement; we are not considering first-time managers.A track record of developing people: mentoring and coaching analysts at different levels, with examples of individuals you have measurably grown or promoted.Demonstrated ability to drive team outcomes: owning a backlog, setting priorities, and delivering on commitments to stakeholders.Strong stakeholder leadership: partnering with senior business and executive stakeholders, managing expectations, and navigating conflicting priorities.Demonstrated AI-native leadership: you have built repeatable, reusable AI assets (prompts, agents, pipelines, workflows) that a team adopted, established a validation and quality bar for AI-generated analysis before...