Director of Data Intelligence, EcoOnline
Salary not provided
AWS
Tableau
Looker
Elasticsearch
Power BI
Redshift
Spark
Snowflake
Sagemaker
dbt
Expert level
Dublin
London
Toronto
Online health & safety tools
Open for applications
Online health & safety tools
501-1000 employees
B2BTrainingLearningSaaSEnvironmental
Open for applications
Salary not provided
AWS
Tableau
Looker
Elasticsearch
Power BI
Redshift
Spark
Snowflake
Sagemaker
dbt
Expert level
Dublin
London
Toronto
501-1000 employees
B2BTrainingLearningSaaSEnvironmental
Company mission
To help our customers create safe, sustainable, efficient, and attractive workplaces through user-friendly SaaS tools.
Role
Who you are
- 10+ years in Data Engineering, Analytics, or AI/ML roles, with 5+ years in leadership positions
- Experience in SaaS, Health & Safety, ESG, or Chemical Safety domains is a plus
- Experience working in Agile environments with DevOps, CI/CD, and MLOps pipelines
- Experience developing data products and related frameworks, including machine learning in production, data analytics and data platforms
- AI & Machine Learning: Hands-on experience in NLP, AI-based automation, and model deployment (MLflow, AWS SageMaker, or similar)
- Big Data & Cloud Technologies: Experience with AWS for data lakes, warehousing, and analytics (e.g., Snowflake, Redshift, Databricks)
- Deep expertise in data engineering, including pipeline architecture, ETL/ELT design, and data governance frameworks (e.g., Spark, dbt)
- Hands-on experience with AI/ML technologies, including NLP and LLM integration (e.g., GPT, Claude, open-source models) into operational systems
- Proficiency in Elasticsearch for intelligent search, document indexing, and retrieval solutions
- Business Intelligence & Analytics: Strong background in Power BI, Tableau, or Looker for data visualization and decision support
- Data Governance & Compliance: Knowledge of GDPR, CCPA, and enterprise data security best practices
- Strategic Leadership: Proven ability to define and execute a data strategy aligned with business goals
- People Management: Experience leading and growing high-performing data teams with coaching and mentoring
- Cross-Functional Collaboration: Ability to bridge technical and non-technical teams, aligning data capabilities with business needs
- Communication & Stakeholder Management: Strong ability to present complex data insights in an executive-friendly manner
What the job involves
- Our Data Intelligence team is made up of six talented professionals who bring a diverse mix of technical and analytical expertise
- The team includes two Data Engineers focused on building scalable data pipelines and infrastructure, two Analytics Engineers responsible for crafting reliable, business-aligned datasets, one Data Analysts who works closely with product and customers on their analytics needs, and a Machine Learning Engineer working on internal automation projects
- Working at the intersection of Product, Engineering, QA, and domain leadership across EHS, ESG, and Chemical Safety, this team plays a pivotal role in driving innovation and enabling smarter, data-informed decisions across the company’s products
- We’re building something meaningful—our Data Intelligence team is at the core of transforming health, safety, and sustainability through powerful insights and AI-driven automation
- As the Director of Data Intelligence, you’ll lead mission-critical initiatives that impact thousands of users across industries striving to protect people and the planet
- You won’t be stepping into a blank slate
- You'll inherit a high-performing, multidisciplinary team, established projects with clear momentum, and the opportunity to elevate our data strategy to the next level
- This is a leadership role with true executive visibility, cross-domain impact (EHS, ESG, Chemical Safety), and the freedom to shape the future of Data and AI in a purpose-driven company
- If you’re looking to combine technical innovation with leadership and purpose, this is a rare and exciting opportunity
- Effectively lead, mentor, and develop a high-performing Data Intelligence team, ensuring team engagement, skills growth, and alignment with business priorities
- Successfully deliver key initiatives such as the Global Insights platform, AI-based SDS data extraction, and SDS sourcing projects, ensuring measurable business impact and timely execution
- Drive innovation through the integration of Large Language Models (LLMs) and AI techniques into core workflows, with measurable improvements in automation, accuracy, or user value
- Ensure robust, scalable, and secure data pipelines and infrastructure are in place, meeting defined performance, availability, and governance standards across the data stack
- Maintain strong collaboration with Product, Engineering, and Domain Leadership (EHS, ESG, Chemical Safety), delivering quarterly reports and aligning data initiatives with company objectives
- Lead and mentor a team of six data professionals (data engineers, ML engineers, analytics engineers, and analysts) to deliver high-quality data solutions
- Foster a high-performance culture, ensuring alignment with business objectives and supporting career growth across the team
- Define and execute the company-wide Data Intelligence Strategy, incorporating cutting-edge data engineering, analytics, and AI capabilities
- Promote and implement AI-driven innovation, including the integration of Large Language Models (LLMs), into product workflows for enhanced data extraction and automation
- Oversee the use of Elasticsearch for intelligent search, document retrieval, and unstructured data exploration in core initiatives
- Establish and enforce data governance, security, and compliance policies to maintain high standards of data integrity and trust
- Champion CI/CD and MLOps practices, ensuring 100% of deployed models follow automated and reproducible deployment standards
- Enforce high code quality through peer reviews and documentation standards, aiming for 90%+ compliance
- Ensure scalable and efficient data engineering architecture, optimizing data pipelines and storage infrastructure
- Drive cross-functional collaboration with Product, Engineering, and Business Intelligence to maximize the impact of data across all business domains
- Partner closely with the CPO, CTO, and domain VPs (EHS, ESG, Chemical Safety) to align strategic data initiatives
- Deliver quarterly stakeholder reports highlighting key data achievements, performance metrics, and business value
Our take
Workplace safety lies primarily in the hands of workers and employees. EcoOnline has set out to challenge unsafe work environments and practices by providing employee training and workplace safety solutions in the form of EHS and chemical management SaaS tools.
Its solutions are extremely customisable and so cover a wide range of different industries. This has enabled the company to attract customers such as NHS, Siemens, Legoland and Johnson & Johnson.
EcoOnline is constantly adding newer EHS areas such as sustainability to its portfolio of solutions which will help expand its customer base even further. Backed by strong institutional investors, listed on the Oslo exchange, and boosted by several acquisitions, the company is well set to see continued growth.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
29% employee growth in 12 months
Company
Funding (1 round)
Feb 2019
$0.5m
GRANT
Total funding: $0.5m
Company benefits
- Robust health coverage
- Extended parental leave
- Generous paid time off
- Accelerated learning paths
- Team wellness initiatives
- Company-wide events
- Employee resource groups
- Recognition awards
Company HQ
Sentrum, Oslo, Oslo
Leadership
Tom Goodmanson
(CEO)Has a wealth of leadership experience, having served as Sr. Manager at KPMG, President and CEO of Calabrio, CFO of Magenic Technologies, and CFAO at Gelco Expense Management.
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