Position : Head of Data Engineering
Location: Indonesia / Remote Hybrid
Reports to: CEO
Type: Full Time
Seniority: Head of Department
Mission
Help Grivy become the category leader in Commerce SuperIntelligence by building the most trusted, scalable, intelligent, and commercially valuable data platform in Southeast Asia. You will transform signals from consumers, retailers, transactions, media, loyalty, telco, and engagement channels into actionable intelligence that powers growth for brands, retailers, and partners. You will support building the data engine that powers the company, manage humans and AI agents, and turn data into competitive advantage.
The Role
This is not a maintenance or reporting role, nor one for someone who only builds dashboards and pipelines. This is a builder role. You will lead Data Engineering and Analytics, personally architect critical systems, solve complex data challenges, shape our AI and intelligence roadmap, and work directly with Product, Sales, Marketing, Partnerships, Customer Success, and the CEO. You are here to build Grivy’s intelligence moat and data pipelines, turn fragmented data into a strategic asset, and make Commerce SuperIntelligence real.
What You Will Own
1.Data Platform and Architecture
You will own the design, scalability, security, quality, and performance of Grivy’s data platform. This includes consumer identity graph, retail transaction pipelines, clean room infrastructure, attribution systems, measurement platforms, AI feature stores, data warehouses and lakehouses, real-time and batch pipelines, data governance and privacy frameworks, and internal and external APIs. You will build systems that support hundreds of millions of consumers, billions of transactions, and thousands of enterprise clients. The platform must be fast, reliable, secure, and scalable.
2.Human plus AI Data Team Leadership
You will lead data engineers, analytics engineers, data analysts, machine learning engineers, and AI agents, creating a modern operating model where humans and AI work together. This includes engineering standards, data quality frameworks, documentation, development workflows, testing and monitoring, AI-assisted development, AI-powered analytics, knowledge management, and automation and orchestration. The future data team is humans amplified by AI. You will build that system.
3.Commerce Intelligence and Analytics
Data is only valuable when it drives decisions and outcomes. You will help turn data into measurable commercial results. This includes online-to-offline attribution, new-to-brand measurement, ROAS, iROAS, ROI, retail media analytics, audience intelligence, consumer segmentation, retail performance measurement, campaign effectiveness, incrementality analysis, predictive insights, and executive reporting. You will help clients answer “What actually drove growth?” and ensure insights are timely and actionable.
4.AI and Intelligence Layer
You will help build the intelligence engine that powers Commerce SuperIntelligence. This includes machine learning models, recommendation systems, predictive analytics, identity resolution, audience scoring, anomaly detection, forecasting, optimization engines, agentic analytics, and natural language insights. You will work closely with Product and Engineering to embed intelligence directly into the platform so users experience it in workflows, not just reports.
5.Data Governance and Trust
Trust is one of Grivy’s most important assets. You will ensure data quality, data lineage, privacy compliance, security standards, clean room governance, access controls, monitoring, auditability, and reliability. Enterprise clients, internal teams, and leadership must all trust the numbers. You will build processes and tooling that make high trust the default.
Key Responsibilities
- Own Grivy’s data architecture and roadmap
- Lead Data Engineering and Analytics teams
- Build scalable data pipelines and infrastructure
- Improve platform reliability, performance, and scalability
- Develop data governance and privacy standards
- Create analytics frameworks that support commercial growth
- Build AI-powered intelligence capabilities
- Manage internal and external data integrations
- Partner with Product, Sales, Marketing, Partnerships, and Customer Success
- Support enterprise clients with analytics and measurement requirements
- Develop self-service analytics and reporting capabilities
- Improve engineering productivity using AI agents
- Recruit, develop, and retain world-class data talent
- Turn data into a strategic competitive advantage
What Success Looks Like
- First 90 Days
You understand Grivy’s platform, architecture, data assets, clients, and strategic priorities. You have reviewed the stack, identified technical debt, scalability risks, data quality gaps, and improvement opportunities, and introduced practical AI workflows for the data team. You have delivered a clear 12-month roadmap and are contributing to current and future strategic projects.
- First 6 Months
Data quality and pipeline reliability have improved. Analytics delivery has accelerated, AI agents are embedded into daily workflows, and internal teams have greater confidence in data. Commercial teams are using insights more effectively. You own at least one major strategic initiative, and the platform is better positioned for scale.
- First 12 Months
Grivy has a scalable intelligence platform capable of processing significantly larger data volumes. Enterprise reporting is trusted and automated. AI-powered analytics have become a competitive advantage, and the data team operates as a high-performance intelligence organization. You have full ownership of data operations, and Commerce SuperIntelligence is becoming reality.
Required Profile
- You Are Deeply Technical
- You have strong expertise in data engineering, cloud architecture, APIs, data warehouses, lakehouses, ETL and ELT, data modeling, analytics engineering, SQL, Python, distributed systems, and machine learning fundamentals. You can design systems and also get your hands dirty when needed.
- You Are Business Oriented
- You understand that data exists to drive business outcomes and can connect technology decisions to revenue, profitability, growth, client retention, product adoption, and strategic advantage. You explain complex concepts in simple language. A CEO should understand the outcome, a CMO the opportunity, and a CFO should trust the numbers.
- You Are AI Native
- You believe AI will fundamentally transform data teams and actively use AI for development, analytics, documentation, research, testing, automation, monitoring, and optimization. You understand that teams that use AI effectively will outperform those that do not.
- You Are a Builder
- You thrive in environments where systems are being created, not merely maintained. You enjoy solving hard problems and can move between strategy and execution. You can design architecture in the morning and debug pipelines in the afternoon. No ego, no hiding, no “that’s not my job.”
Ideal Experience
- 8–15 years in Data Engineering, Analytics, Data Platforms, AI, or related fields
- Experience building large-scale data platforms
- Experience with consumer, retail, commerce, media, telco, loyalty, or transaction data
- Experience leading technical teams and working with enterprise clients
- Experience with cloud-native architectures and machine learning or AI-enabled analytics
- Startup, scaleup, or high-growth technology experience is highly valued
Working Style
Ambitious, technical, commercially aware, structured, curious, data-driven, fast-moving, and hands-on. AI-obsessed, builder mentality, strong under pressure, comfortable with ambiguity, and willing to challenge assumptions. Able to challenge the CEO and leadership team when needed, and proud to build systems that scale.
What This Role Is Not
This is not a reporting, dashboard, or maintenance role. It is not for someone who only manages vendors, avoids commercial discussions, talks about AI but does not use it, or needs perfect requirements before acting. This is a role for someone who wants to build the intelligence backbone of Grivy.
The Big Opportunity
Grivy sits at the center of several major shifts: offline purchase data becoming the source of truth, AI agents transforming analytics and decision making, retailers becoming data platforms, telcos becoming intelligence partners, brands demanding measurable growth, clean rooms becoming core infrastructure, and commerce becoming predictive, connected, and personal. The Head of Data Engineering & Analytics will turn these shifts into intelligence, products, insights, revenue, and market leadership. You will help build the data moat, manage people and AI agents, build the platform, and build the intelligence layer that takes Grivy to the next level.
If this is you, apply today.
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