Analytics Engineering (Business Intelligence) Lead at StashAway

Kuala Lumpur, Kuala Lumpur, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

21 Sep, 26

Salary

0.0

Posted On

23 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

People Management, SQL, Data Modelling, AI Asset Development, Stakeholder Management, Business Intelligence, Analytics Engineering, dbt, Python, Semantic Layers, Metric Governance, Agentic Workflows, Roadmap Planning, Mentoring, Fintech Domain Knowledge, Databricks Genie

Industry

Financial Services

Description

ROLE OVERVIEW StashAway is one of Southeast Asia's leading digital wealth-management platforms, and our Business Intelligence team turns the company's data into decisions. We're looking for an AI-augmented Analytics & BI Lead 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 and shield its focus, partner with senior stakeholders, and act as the tie-breaker on hard calls. 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, and hiring, partnering with a Head of Data who deliberately delegates day-to-day ownership. KEY RESPONSIBILITIES 1. BI LEADERSHIP, DELIVERY & PEOPLE MANAGEMENT * Own the BI team's backlog and outcomes: translate business needs into prioritised work, hold the team to its commitments, and act as the tie-breaker on hard calls. * 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 STRATEGY * Define 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 scale the team's impact and deflect routine requests. 3. STAKEHOLDER MANAGEMENT & BUSINESS PARTNERSHIP * Partner with leaders across Product, Marketing, Operations, and the executive team to align BI priorities with business strategy. * Shield the team's focus by triaging inbound demand; 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 FOR 1. REQUIRED EXPERIENCE * You 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 it reached stakeholders, and driven measurable output or cycle-time gains from AI. Personal tool use alone is not sufficient. * Enough hands-on SQL and data-modelling depth to set standards, review work, and make the call on contested modelling decisions, including leading a team that works with semantic layers and agentic analytics workflows. * Genuine interest in investing, personal finance, or fintech, and the curiosity to ramp quickly on the domain. 2. PREFERRED EXPERIENCE * dbt, semantic layers, and metric governance at scale. * Has designed and operated agentic or MCP-backed analytics workflows in production, including evals, guardrails, and human-in-the-loop gates. * Python for analysis, automation, or tooling. * Domain experience in investing, wealth management, or fintech. ROLE ACCOUNTABILITY * The AI-augmented Analytics & BI Lead is accountable for the performance, quality, and growth of the Business Intelligence team: its backlog and priorities, the rigour and impact of its analyses, the adoption of AI-native and self-serve ways of working, and the development of every person on the team. * This includes direct accountability for the performance, growth, retention, and development of every team member, measured by the team's outcomes and the decisions BI enables, not by individual output. * In return, the role carries real authority: you own the team's roadmap and priorities, hold hiring and development authority for the team, and partner with a Head of Data who deliberately delegates day-to-day ownership. LIFE AT STASHAWAY YOUR GROWTH, REWARDED 💰 * Competitive compensation package, including ESOPs (Employee Stock Option Plan) for full-time employees. * Comprehensive medical coverage including GP, specialist, hospitalization, surgical, and dental benefits. * Employee discount on StashAway asset management fees. WORK YOUR WAY 🌍 * Flexible hybrid work setup. * Work-from-anywhere policy for up to 8 weeks annually. * Unlimited annual leave built on trust, flexibility, and accountability. * Personal work equipment budget to support your ideal workspace. NEVER STOP GROWING 🚀 * Annual Learning & Development budget to support your professional and personal growth. MORE THAN JUST COLLEAGUES 🎉 * Quarterly team bonding budget across teams and functions. * Annual company off-sites (Q4) focused on connection, collaboration and fun. THE STASHAWAY ADVANTAGE * One of Asia’s leading digital wealth platforms, managing US$1B+ in AUM with strong regional growth 🚀 * Regional exposure across Singapore, Malaysia, Hong Kong, Thailand, and MENA markets 🌏 * Lean, high-impact culture with strong ownership and opportunity to make meaningful business impact 💡 * Fast-growing fintech backed by top global investors including Sequoia Capital and Eight Roads 📈 * Competitive compensation, ESOP opportunities, performance bonuses, and strong career growth potential 💰

Responsibilities

Lead the Business Intelligence team by managing the backlog, priorities, and career development of analysts. Drive the adoption of an AI-native operating model to scale analytics impact and partner with senior stakeholders to align BI with business strategy.