Find Practice lead data science_ ml Jobs in Dunboyne, Mh

Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
Forward Deployed Engineering Manager, Generative AI, Google Cloud
Google —Dublin, County Dublin
- €186,000–€191,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
1d
Deployment Strategist - Polish Speking
Salesforce —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- Sales
8d
Head of AI & Data
Voluntary Health Insurance —Dublin, County Dublin
- Hybrid work
- AI
- Leadership
- Restaurant experience
Quick apply
9d
Lead Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Master's degree
Product Manager
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Computer Science
9d
Sr. Technical Project Manager
iCims —DUBLIN 2, County Dublin
- Azure
- Master's degree
- AWS
- Annual leave
- Life insurance
Director of Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- DevOps
Sr. Technical Project Manager
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Azure
- Master's degree
- AWS
- Annual leave
- Life insurance
Sr. SDE, Amazon Email Services
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Java
- AWS
Forward Deployed Engineer II, GCC (French, German)
Google —Dublin, County Dublin
- €76,000–€78,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
8d
Staff Machine Learning Engineer
Adswizz —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Forward Deployed Engineer III, GCC (French, German)
Google —Dublin, County Dublin
- €100,000–€103,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
11d
Data Architect, Charles River Development, Vice President
State Street —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- System design
- Master's degree
ASIC Digital Design, Principal Engineer
Synopsys —Dublin, County Dublin
- Computer Science
- Engineering
- Bachelor's degree
7d
AI Lead, Manufacturing & Supply Chain
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Computer Science
- Master's degree
- Bachelor's degree
Director of Data Engineering
2K —Dublin, County Dublin
- DevOps
- Data analysis skills
- AI
Quick apply
Staff Machine Learning Engineer
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Computer Science
- Java
Power Platform Architect, Senior Manager (Data & AI)
PwC —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
Lead Full Stack Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering

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Director, Software Engineering

Mastercard -
Dublin, County Dublin

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Job details

Full-time

Qualifications

Computer Science
Software Engineering
Bachelor's degree
Computer Engineering
Leadership
Communication skills

Full job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Director, Software Engineering

About Mastercard
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits
everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our
innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency
quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and
territories, we are building a sustainable world that unlocks priceless possibilities for all.

Role Summary

Lead Quality Engineering as a strategic function across all CNPF products and platforms. Build and lead a global team of quality engineers
obsessively focused on customer experience and product reliability — operating across the full stack (frontend, backend, APIs, data pipelines,
AI/ML, infrastructure). Define QE strategy and ensure its execution at pace.

The role is responsible for designing, developing, testing, maintaining, and enhancing Mastercard's software solutions to ensure quality, security,
scalability, and performance to deliver measurable business value.
-
Key Responsibilities

Develop and execute short-term and medium-term strategic plans for Quality Engineering
Lead the design and delivery of complex testing solutions across full-stack applications, data systems, and infrastructure
Drive test automation strategy — define what to automate, at what layer, with what tooling
Embed quality earlier in the lifecycle (shift-left) and extend into production (shift-right)
Define QE strategy for data products — pipeline validation, data contracts, schema drift detection, ML model quality
Establish evaluation and quality frameworks for AI and agentic products — guardrail testing, hallucination detection, prompt regression testing
Own release quality gates and define ship-or-hold criteria
Drive root cause analysis on production incidents and escaped defects
Manage budget, resource planning, and vendor relationships for QE
Hire, develop, and retain world-class QE talent; build compelling career paths
Evaluate, select, and manage QE tooling; drive build-vs-buy decisions
Stay current with industry QE practices and represent Mastercard externally

Qualifications

Required:

12+ years of software engineering experience, with 7+ years focused on Quality Engineering at increasing levels of scope and leadership
5+ years managing engineering teams, including managing people leaders (managers of managers)
Demonstrated expertise across full-stack application quality (API, UI, microservices) and data/ML system quality (pipelines, models, data

platforms)

Track record of defining and executing QE strategy at scale — not just running a test team, but transforming how an organization approaches

quality

Experience in financial services, payments, or other highly regulated technology environments
Strong communication skills including the ability to assert quality positions to senior leadership, present to executives, and influence without

authority

Experience with budget and resource management, including forecasting, vendor management, and build-vs-buy decisions
Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Apply Now

Refine Your Search

practice lead data science_ ml jobs in dunboyne, mh

Director, Software Engineering

Forward Deployed Engineering Manager, Generative AI, Google Cloud

Deployment Strategist - Polish Speking

Head of AI & Data

Lead Software Engineer

Product Manager

Sr. Technical Project Manager

Director of Software Engineering

Sr. Technical Project Manager

Sr. SDE, Amazon Email Services

Forward Deployed Engineer II, GCC (French, German)

Staff Machine Learning Engineer

Forward Deployed Engineer III, GCC (French, German)

Data Architect, Charles River Development, Vice President

ASIC Digital Design, Principal Engineer

AI Lead, Manufacturing & Supply Chain

Director of Data Engineering

Staff Machine Learning Engineer

Power Platform Architect, Senior Manager (Data & AI)

Lead Full Stack Engineer

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