Imagine a world where businesses thrive on data-driven insights, and innovation is the driving force behind every decision.
We're seeking a Data Strategy Associate Director to join our Dublin team,
who will spearhead the development of cutting-edge data strategies that unlock business value.
Key qualifications and experience:
- 7+ years' experience in designing and executing data strategies for large organisations,
leveraging industry trends like Generative AI, real-time analytics, and AI-driven decision-making.
- Expertise in building and governing enterprise-wide data management frameworks,
leading teams in the development and management of data assets (master data, transaction data, referential data, and unstructured data).
- Deep knowledge of modern data management platforms and tools, including Azure Purview, Informatica, Collibra, Databricks, and emerging AI governance tools,
with hands-on experience in their implementation.
- Extensive experience with cloud-based data and AI platforms such as Azure, AWS, GCP, or Snowflake, including expertise in scalable data architectures,
lakehouses, and AI model deployment pipelines.
- Proven track record in implementing Generative AI, Large Language Models (LLMs), and advanced analytics to deliver measurable business value,
including use cases such as intelligent automation, predictive analytics, and personalised customer experiences.
- Expertise in end-to-end data lifecycle management, from data ingestion and processing to consumption,
including designing processes and tools to digitise and optimise business operations using AI-driven insights.
- Experience in leading enterprise-wide AI and data transformation initiatives, collaborating with cross-functional teams
to align AI and data strategies with business objectives, including the integration of Responsible AI principles (fairness, transparency, accountability).
The ideal candidate will have a strong vision for leveraging data and AI to drive business growth,
and be able to articulate this vision to both technical and non-technical stakeholders.
Benefits of the role include:
* Partnering with clients to define and implement cutting-edge data and AI strategies
* Designing and implementing AI and data governance frameworks
* Leading the establishment of Data and AI Management Offices to drive enterprise-wide adoption of data-driven and AI-enabled capabilities
* Conducting maturity assessments of existing data and AI operations, recommending and implementing improvements to enhance governance, scalability, and innovation
* Driving the adoption of emerging technologies, such as AI-powered data orchestration, synthetic data for privacy-preserving analytics, and automated machine learning (AutoML), to accelerate client outcomes
Evolve with us as you grow in this role!