Business Transformation Architect (Data & AI)

Slalom; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

Slalom Singapore is seeking a strategic leader for its growing Data team, focusing on data engineering, machine learning, and artificial intelligence. The role involves collaborating with clients to design and implement innovative solutions, while also participating in pre-sales and driving business development. Candidates should have extensive experience (10+ years) in data-related fields and 6–8 years in consulting, emphasizing technical and people management skills. The work culture encourages minimal oversight and teamwork.

Qualifications

• 10+ years of experience in data engineering, data visualization, and/or data science.
• 6–8 years in consulting, including technical solution sales.
• Experience in people management and engagement delivery in a services industry.

Responsibilities

• Collaborate with technical teams to drive strategy and implementation of data/AI solutions.
• Lead design sessions and build consensus with client teams.
• Participate in pre-sales activities and define approaches to technical challenges.

Skills

Data Engineering

Machine Learning

Artificial Intelligence

Cloud Platforms

Data Visualization

People Management

Tools

Apache Spark

Amazon EMR

Amazon SageMaker

Python

Tableau

Job description

Overview

Slalom Singapore is looking for a strategic leader to join its fast‑growing Data team. The role focuses on injecting intelligence into products, engineering systems that support learning and insight, creating innovative data products, and advising customers on their AI journeys. The person will help customers build world‑class products and deliver innovative services through data engineering, machine learning, and artificial intelligence.

Key Areas of Expertise

• Data Engineering – streaming / real‑time solutions, modern data platforms, and product data systems (database, graph, key‑value, document, transactional)
• Machine Learning & Artificial Intelligence

Responsibilities

As tools evolve and technologies emerge, you will work in small, collaborative teams with minimal oversight to design and deliver innovative solutions on Amazon Web Services, Microsoft Azure, Snowflake and Databricks. The responsibilities include:

• Understanding the client’s current environment and technical challenges and their future architecture plans.
• Facilitating design sessions with Slalom and client technical teams to drive strategy, architecture, and implementation of data/AI solutions.
• Describing the pros and cons of solution designs and building consensus with the client team.
• Breaking down complex development tasks, leading the development team to timely, quality completion of assignments.
• Participating in pre‑sales activities, helping define approaches to technical challenges and estimating projects.
• Serving as senior subject‑matter expert in Data & AI, engaging executives through customer‑focused solution development.
• Collaborating with other practice areas to develop collateral, marketing materials, and thought leadership.
• Leading business development and delivery of projects in data engineering, data visualization, and AI.
• Driving knowledge management locally and with other markets.
• Leading and mentoring team members in data and analytics topics and creating growth plans.
• Qualifying and progressing opportunities through the sales cycle (solution discussions, proposals, statements of work).

Qualifications

• 10+ years of experience in data engineering, data visualization, and/or data science.
• 6–8 years in consulting, including technical solution sales.
• Experience in people management and engagement delivery in a services industry.
• Broad architecture design experience and deep expertise in technologies such as:
• Big data platforms – Apache Spark, Presto, Amazon EMR
• Cloud data platforms – Amazon Redshift, Snowflake, Databricks
• Programming – Java, Python
• NoSQL databases – DynamoDB, Cosmos DB, MongoDB
• Container management – Kubernetes, Amazon ECS
• AI/ML – Amazon SageMaker, Azure ML Studio
• Streaming ingestion & analytics – Amazon Kinesis, Apache Kafka
• Visual analytics – Tableau, PowerBI
• Modern workflows – Apache Airflow, dbt, Dagster
• Test‑driven development exposure.