Director of Data Intelligence
Dublin 8, Ireland
EcoOnline
Health and safety software that helps your business stay compliant. Faster Inspections, audits, safety training tracking & incident managementWant to be a part of a company that’s making a difference?
We’re a growing global tech company, with huge potential for curious and caring minds, committed to each other, to deliver solutions that protect people and the planet for future generations. Our team of experts are focused on creating meaningful impact and making a real difference for our customers.
🌍 Impact: A strong connection to our mission through product, customer and impact is essential. We protect people and the planet by helping businesses mitigate risks and create safer, healthier workplaces.
💡 Innovation: Trusted by over 11,000 customers, you’ll have the chance to work with industry experts and thought leaders, dedicated to driving positive change. We believe in fostering a trusting environment that empowers our team to grow, innovate, and succeed.
📈 Growth: Connect commercial growth to personal growth opportunities. Benefit from a wide range of learning opportunities for ambitious professionals seeking development in a rapidly expanding sector.
We're on a mission to protect people and the planet by building and deploying transformative software. We need everyone's energy and commitment, regardless of region or rank, to make that mission a reality for millions more customers.
Our culture code, a set of principles that underpins our values, is our commitment to each other and working better together.
Join EcoOnline and be part of a mission dedicated to driving positive change. Read on to learn more about the opportunity and how you can have a positive impact!
About the Role
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.
Key Responsibilities:
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.
What we're looking for:
- 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.
Our Benefits:
We offer a variety of global benefits which are listed below! Please note a country-specific breakdown will be provided during your interview process.
- 🌴 Generous Paid Time Off
- 🍼 Extended Parental Leave
- ❤️🩹 Robust Health Coverage
- 💡 Accelerated Learning Paths
- 🧘♂️Team Wellness Initiatives
- 📆 Company-wide Events
- 🌎 Employee Resource Groups
- ⭐️ Recognition awards
EcoOnline is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where everyone feels safe and empowered to be themselves. Our Talent Acquisition team reviews all applications and believes in the potential of individuals who may not meet all the specific requirements but demonstrate the attitude, alignment with our values and drive to succeed.
We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need any assistance due to a disability, please speak to your talent acquisition partner.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Big Data Business Intelligence CI/CD Claude Data Analytics Databricks Data governance Data pipelines Data strategy Data visualization dbt DevOps Elasticsearch ELT Engineering ETL GPT LLMs Looker Machine Learning MLFlow MLOps Model deployment NLP Open Source Pipelines Power BI Redshift SageMaker Security Snowflake Spark Tableau Unstructured data
Perks/benefits: Career development Health care Parental leave Startup environment Team events Wellness
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