Data Strategy Associate Director

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Client:
KPMG Ireland
Location:
Dublin, Ireland
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
07b78d2ac742
Job Views:
10
Posted:
Expiry Date:
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Job Description:
When you join KPMG Ireland, you are joining a community of over 4,200 employees who collectively work together, both in person and virtually, to achieve their full potential.
We are known as an organisation that encourages you to come as you are and do work that truly matters.
Joining KPMG Ireland is an opportunity to enhance your career, not only through the work you enjoy, but also through the global connections you make, the lifelong learning you accomplish, and the chance to make your mark.
Are you our next Data Strategy Associate Director?
We are currently seeking to hire a Data Strategy practitioner at Associate Director level to join our Dublin Data & AI team.
We are looking for professionals with deep data strategy expertise, coupled with strong industry experience and exceptional communication skills, who are dedicated to becoming thought leaders in their field and driving innovation in data and AI.
Location
: Dublin, as part of our hybrid working model.
Grade
: Associate Director
Contract type
: Permanent
Key Qualifications and Experience
We ideally need you to have most of the following on your CV:
7+ years' experience
in designing and executing data and AI strategies for large, complex organisations, setting them on the path to becoming data-driven and AI-enabled enterprises.
Practical 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).
This includes establishing standards, policies, and frameworks for data governance, data ethics, and AI governance to foster a culture of trust, innovation, and growth.
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).
Demonstrated ability
to advise on and implement
data and AI governance frameworks
, ensuring compliance with emerging regulations such as the
EU AI Act, CSRD, GDPR
, and other global data privacy standards.
Hands-on experience
in
data quality management, data cataloguing, metadata management, data lineage, data protection, and records management
, with a focus on leveraging AI to automate and enhance these processes.
Expertise in Records Retention analysis
, including Legislative Gap Analysis, to inform the creation of retention schedules and associated procedures, ensuring compliance with local and international regulations.
Experience with emerging trends in data and AI
, such as
federated learning, synthetic data generation, AI-driven data orchestration
, and
zero-trust data architectures
, to address evolving business and regulatory needs.
Relevant certifications
, such as
DAMA CDMP, ICCP, AWS Certified Data Analytics, Azure AI Engineer, or Google Professional Data Engineer
, with additional certifications in AI ethics or governance being a plus.
Strong stakeholder management and presentation skills
, with the ability to articulate complex data and AI concepts to diverse audiences, including C-suite executives and non-technical stakeholders.
Your Responsibilities
Your responsibilities and achievements will evolve as you grow with us.
Initially, you can expect to:
Partner with clients to
define and implement cutting-edge data and AI strategies
that unlock business value, leveraging trends such as Generative AI, real-time analytics, and AI-driven decision-making.
Design and implement
AI and data governance frameworks
, including operational structures for ethical AI use, data stewardship, and compliance with global regulations.
Lead the establishment of
Data and AI Management Offices
to drive enterprise-wide adoption of data-driven and AI-enabled capabilities.
Conduct
maturity assessments
of existing data and AI operations, recommending and implementing improvements to enhance governance, scalability, and innovation.
Articulate the vision, necessity, and benefits of data and AI strategies to both technical and non-technical stakeholders, fostering a culture of data and AI literacy.
Drive 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.
Your Team
KPMG offers a broad range of
Data & AI services
across a wide range of clients, globally.
Our dedicated Data & AI practice works with clients to provide services spanning
data operating models, AI governance, data engineering, advanced analytics, Generative AI
, and
business domain expertise
.
Our team is at the forefront of leveraging AI to transform industries, from financial services to healthcare, and we are committed to staying ahead of trends such as
edge AI, quantum-inspired analytics
, and
AI-driven sustainability reporting
.
Why KPMG?
At KPMG, we don't just invest in your career-we empower you to shape the future of data and AI.
Here's how we support you:
Tailored benefits package
, including discounted health insurance, the option to purchase additional annual leave, and access to frequent social events to build your network.
Flexible work-life balance
, with early finish Fridays on bank holiday weekends and throughout the summer months.
Continuous learning
, with complimentary access to a range of
Learning & Development programmes
, including LinkedIn Learning, and support from our award-winning Business School.
Frequent career progression opportunities
, with promotions announced four times per year-unique among the Big Four.
Inclusive culture
, where diversity, equity, and inclusion are at the heart of everything we do.
Learn more at
Apply
If you are passionate about shaping the future of data and AI, please submit your CV via the apply button.
For specific queries, contact Shauna Maguire.
For an interactive insight into life at KPMG, make sure to follow #KPMGLife on social media You can find us on LinkedIn, Instagram, TikTok and Twitter.
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Please note we do not require Agency assistance for this role.
By clicking apply to this role your application will not only be considered for this position, but your details will be stored on our database and may be considered for similar future positions that may arise.
This means that the personal data contained in your application and provided to KPMG as part of the application process may be retained by us for up to 18 months from the date of your application and you hereby agree to that.
If you do not wish your details to be stored on our recruitment database, please email stating this and we will ensure that such information is not stored other than for the purposes of this application.
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