Massive Rocket helps companies use data to understand their customers and automate communications across channels.
Project Manager
Location
Thailand
Posted
68 days ago
Salary
0
Seniority
Lead
Job Description
Project Manager
Massive Rocket | Data & CRM Consultancy
• Lead, mentor, and scale a high-performing team of data engineers and data scientists • Define and drive the data architecture vision, technical standards, and best practices across client engagements • Champion AI/ML initiatives, identifying opportunities for automation, modelling, and intelligent activation • Oversee end-to-end delivery of data platforms, pipelines, and tooling across client projects • Ensure strong data governance, security, and compliance across all workflows • Collaborate with CRM, Growth, and Strategy teams to align technical delivery with business objectives • Partner with clients to translate business requirements into scalable technical solutions • Manage vendor and platform relationships across cloud, data warehouse, and CDP ecosystems • Optimise performance, reliability, and cost efficiency of data infrastructure and operations • Represent Massive Rocket’s data capabilities in client conversations, proposals, and strategic engagements
Job Requirements
- 7+ years in engineering leadership roles focused on data and AI technologies
- Proven experience managing and scaling cross-functional data teams (5–8+ direct reports)
- Strong track record in hiring, mentoring, and developing technical talent
- Experience delivering complex data programmes in high-growth or consulting environments
- 10+ years of hands-on experience in data engineering and modern data stack architectures
- Deep knowledge of enterprise data platforms such as Snowflake, BigQuery, Databricks, or similar
- Experience with CDPs and data integration tools such as Segment, mParticle, Hightouch, or equivalent
- Strong grounding in data architecture, governance, and security best practices
- Familiarity with AI/ML ecosystems and orchestration tools (e.g. Airflow, dbt, SageMaker, MLflow)
- Solid understanding of cloud platforms (AWS, Azure, GCP) and modern DevOps practices
- Strong stakeholder management experience, including working with senior and C-level clients
- Ability to communicate complex technical concepts clearly to non-technical audiences
- Experience operating in agency or consultancy environments with client-facing responsibilities
- Strategic mindset, balancing technical debt, scalability, and commercial delivery priorities
- English proficiency at C1 level
- Certifications in major cloud or data platforms (AWS, Snowflake, etc.)
- Experience with real-time and streaming technologies (Kafka, Kinesis, etc.)
- Background in MLOps and AI model deployment
- Experience in marketing technology, customer data, or e-commerce analytics
- Track record of scaling engineering teams in fast-growth environments
Benefits
- Rocket‑Fuelled Growth – Big challenges, fast learning, and the chance to level up quicker than anywhere else
- A Culture That Actually Gives a Damn – Supportive, positive, and built around people who want to see you win
- A Global Crew – Collaborate with brilliant teammates across Europe, the US, and beyond
- Remote‑First for Life – Work from wherever you feel your best
- Real Career Momentum – Clear progression, real ownership, and space to grow into your next chapter
- Moments That Matter – Meetups, events, and team experiences that make the journey unforgettable
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