Find Ai and data data consultant, risk and finance snr Jobs in Dublin, D

Consultant
LatentView Analytics —Dublin, County Dublin
- Master's degree
- SQL
- AI
10d
Senior Technical Consultant
Asana —Dublin, County Dublin
- €105,000–€119,000 a year
- Sales
- AI
- Python
- Work from home
Quick apply
12d
Applied AI Product Manager
Marsh —Dublin, County Dublin
- Full-time
- JavaScript
- AI
9d
Japanese Language Consultant
IQVIA —Dublin, County Dublin
- Full-time
- English
- Analysis skills
- Bachelor's degree
9d
Snr Safety Project Lead
IQVIA —Dublin, County Dublin
- Full-time
- Remote
- Analysis skills
- Project management
- Conflict management
- Work from home
2d
Maximo Consultant
Nucleo Consulting Limited —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- SQL
- Analysis skills
Quick apply
Product Owner, Community
Salesforce —Dublin, County Dublin
- Full-time
- Sales
- Salesforce
- No degree
3d
Senior HR Consultant (contract)
Microsoft EMEA —DUBLIN 22, County Dublin
- €298–€315 a day
- Monday to Friday
- Master's degree
- Bachelor's degree
- No degree
Lead Solutions Consultant
DocuSign —Dublin, County Dublin
- Remote
- Sales
- English
- Bachelor's degree
Banking Practice Lead -AI
NTT Ltd —Dublin, County Dublin
- Hybrid work
- Business development
- AI
- Leadership
Account SE
Salesforce —Dublin, County Dublin
- Full-time
- Spanish
- Computer Science
- Sales
8d
CRM Specialist
CarTrawler —Dublin, County Dublin
- Hybrid work
- Marketing
- Analysis skills
- Bachelor's degree
- Annual leave
- Employee assistance program
GRC Pre-Sales Consultant / Solutions Engineer – EMEA
Vanta —Dublin, County Dublin
- Full-time
- Azure
- Sales
- Windows
- Annual leave
2d
Senior Onboarding Specialist-Slack
Salesforce —Dublin, County Dublin
- Full-time
- Salesforce
- Mentoring
- AI
Operational Technology (OT) Consultant
Accenture —Dublin, County Dublin
- Full-time
- Communication skills
Senior Account Executive - AI Software Sales & professional services
MaxAccelerate —Dublin, County Dublin
- Full-time
- Remote
- Oracle
- Sales
- Salesforce
Quick apply
Employee Relations Partner
eBay Inc. —Dublin, County Dublin
- Full-time
- Bachelor's degree
- Human resources
- AI
EY Parthenon Strategy - Senior Consultant
EY —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Master's degree
- Presentation skills
- Recruiting
- Gym membership
11d
Senior Solutions Consultant
Trulioo —Dublin, County Dublin
- Full-time
- Hybrid work
- English
- AI
- Communication skills
- Annual leave
CRM Developer
Glen Dimplex Group —Cloghran, County Dublin
- Full-time
- Azure
- Microsoft Outlook
- Computer Science

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Consultant

LatentView Analytics -
Dublin, County Dublin

Apply Now

Job details

Permanent
10 days ago

Qualifications

CI/CD
Law
Master's degree
SQL
AI
Leadership
Python

Full job description

LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities, and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets.

Designation : Consultant

Location : Dublin, Dublin , Ireland

Experience : 4 to 10 years

Job Role :

We are seeking an experienced AI & Data Engineering Resource Capability Specialist to lead workforce strategy, skill capability mapping, and resource management for our growing AI, Machine Learning, and Data Engineering practices.

In this role, you will sit at the intersection of technical delivery and strategic operations. You will be responsible for ensuring our projects have the right technical talent assigned at the right time, while actively designing learning paths to upskill teams on emerging technologies (LLMs, GenAI, MLOps, modern data stacks)

Responsibilities :

1. Technical Delivery & Project Execution

Delivery Oversight: Act as the technical anchor across active AI and Data Engineering engagements, ensuring architecture, data pipelines, and AI models meet quality standards and performance benchmarks.

Technical Risk Mitigation: Identify technical bottlenecks, data governance risks, and deployment blockers early in the project lifecycle, collaborating with engineering leads to implement fast solutions.

Standards & Best Practices: Enforce modern engineering frameworks across project teams, including CI/CD for ML (MLOps), code reviews, data testing, security protocols, and ethical AI standards.

2. Project Planning & Technical Scoping

Technical Roadmapping: Translate client business requirements into concrete AI and Data Engineering project plans, deliverables, technical milestones, and sprint backlogs.

Resource Architecture: Determine the exact technical skill mix, team topology, and tool stack needed to successfully execute specific project scopes.

Feasibility & Solutioning: Work with project leads during inception to validate technical feasibility, assess data maturity, and select appropriate platforms (e.g., cloud stack, vector databases, LLM orchestration frameworks).

3. Team Leadership, Mentorship & Technical Guidance

Hands-on Guidance: Provide day-to-day technical direction to Data Engineers, ML Engineers, and AI Developers, helping them solve complex architecture, ETL, and modeling challenges.

Code & Architecture Reviews: Lead technical reviews to ensure pipelines, API integrations, and AI models are scalable, efficient, and maintainable.

Team Empowerment: Establish a culture of technical excellence, psychological safety, and innovation, guiding the team through complex technical transitions (e.g., migrating to GenAI/RAG architectures).

4. Upskilling & Technical Capability Development

Technical Learning Frameworks: Design and lead structured technical upskilling programs to transition traditional Data Engineers into Modern Data & GenAI/ML Engineers.

Hands-on Labs & POCs: Drive internal technical initiatives, hackathons, and Proof-of-Concepts (POCs) to give engineers practical experience with emerging tools (e.g., LangChain, LlamaIndex, Databricks, Snowflake, MLOps tooling).

Certifications & Skill Progression: Establish clear technical competency paths and mentor team members through cloud platform, data engineering, and AI/ML industry certifications.

Required skills :

DE, AI strategy analyst (Python, SQL, AI Tools & Infra)

At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, colour, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.

Job Snapshot

Updated Date

17-08-2026

Job ID

J_5666

Location

Dublin, Dublin, Ireland

Experience

4 - 10 Years

Employee Type

Permanent

Apply Now

Refine Your Search

ai and data data consultant, risk and finance snr jobs in dublin, d

Consultant

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Account SE

CRM Specialist

GRC Pre-Sales Consultant / Solutions Engineer – EMEA

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Operational Technology (OT) Consultant

Senior Account Executive - AI Software Sales & professional services

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