Job Details

Finance Automation & GenAI Architects

  • Image for Employer
    BOUGH CONSULTING IRELAND LIMITED
  • Image for Job Ref
    Ref: #JOB-2434440
  • Image for Location
    Mervue Bus & Tech Pk, Wellpark Road, Galway, Co. Galway,
  • Image Position
    No of positions: 1
  • Image Part Time
    Paid Position
  • Image Hours per week
    37.5 hours per week
  • Image for Euro
    28000.00 - 35000.00 Euro Annually
  • Image for Published
    Published On: 17 Feb 2026
  • Image for Closing
    Closing On: 17 Mar 2026

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Role Overview
We’re looking for minds that see inefficiency as raw material and automation as a craft. You design systems that scale without friction and instinctively ask: What can be automated? What can be accelerated? What can be reimagined entirely? If you can translate business problems into technical blueprints, engineer solutions that reduce human drag, and lift an organization’s capability through automation + GenAI, this is your inflection point. We need architects of intelligence, not just builders of code.

Key Responsibilities
Take real finance friction and turn it into working systems
Design and build data systems that organize raw inputs into usable, reliable structures
Raise data quality to “decision-grade” through validation, reconciliation, and controls
Create measurable efficiency in finance processes through automation and workflow redesign
Prototype fast (Python / R / SQL); productionize what works with sound engineering practices
Build and deploy GenAI solutions, including agentic workflows, with a pragmatic ROI focus
Deliver automation in the real world: RPA (UiPath or equivalent) plus the broader stack (ETL/ELT, workflow, APIs)
Drive delivery across stakeholders, locations, and timelines; land adoption and change
Document clearly and leave reusable assets: pipelines, components, templates, and runbooks

Qualifications and Experience
3+ years in finance technology/analytics/automation or consulting preferred
Bachelor’s degree in Engineering/Information Systems/Finance/Statistics 
Strong data fundamentals (databases, modeling, and Excel); comfortable with messy, heterogenous datasets
Hands-on with Python or R; strong SQL preferred
Proven delivery with RPA platforms (UiPath or equivalent), beyond curiosity or POCs
Experience implementing or integrating BI/ETL/workflow tools; familiarity with cloud data stacks a plus
Demonstrated work with GenAI (incl. agentic solutions): experiment → evaluate → deploy with safeguards

Preferred Skills
Structured thinker with strong judgment; low-ego operator who ships, iterates, and improves, fast
Systems thinker: anticipates failure modes and tightens seams before they split
Security- and control-aware by default; designs with auditability and resilience in mind
Clear, executive-ready communication, able to translate technical choices into business impact
Stakeholder leadership across Finance, Operations, Data, and Engineering; drives outcomes to closure
Documentation discipline and change management mindset to ensure durable adoption 
  • Sector:

Career Level

  • Entry Level

Candidate Requirements

Essential Desirable

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