Find machine learning engineer Jobs in sandyford, d

Director - Process Data Enablement Product Owner
Merck —Leopardstown, County Dublin
- €173,200–€272,600 a year
- Full-time
- Computer Science
- Engineering
- Bachelor's degree
- Annual leave
3d
AI & Data - AI Lab: Full-Stack Engineer - Agentic AI Platform - Manager
EY —DUBLIN 2, County Dublin
- Hybrid work
- Azure
- DevOps
- Master's degree
- Gym membership
Principal Data Scientist
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
Director, Data Science & Agentic AI
Novartis —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- English
- Research
Practice Lead - Data Science_ ML
Infosys —Dublin, County Dublin
- Azure
- Doctoral degree
- Marketing
3d
Senior Software Engineer - Pricing Analytics
Bloomberg —Dublin, County Dublin
- Computer Science
- Java
- No degree
Ads Solutions Engineer, gTech
Google —Dublin, County Dublin
- Full-time
- Computer Science
- Windows
- Master's degree
Sr Data Engineer
Mifinity —Dublin, County Dublin
- Full-time
- Hybrid work
- Master's degree
- SQL
- AWS
- Free parking
Quick apply
Senior Software Engineer, Java
Telnyx —Dublin, County Dublin
- Remote
- Computer Science
- Java
- No degree
Quick apply
Senior Software Engineer - (Clinical AI) - Ireland
Heidi —Dublin, County Dublin
- Full-time
- Hybrid work
- Master's degree
- AWS
- AI
- Work from home
2d
Senior Business Analyst
American International Group UK Limited, Ireland Branch & AIG Europe S.A. (Ireland Branch) —DUBLIN 1, County Dublin
- Full-time
- System design
- SQL
- Bachelor's degree
Quick apply
6d
Cloud Support Consultant
Codec —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Oracle
- DevOps
Quick apply
Senior Ads Solutions Engineer, gTech
Google —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
Staff Software Engineer, Ruby on Rails
Ripple —Dublin, County Dublin
- Full-time
- Azure
- Oracle
- AWS
Quick apply
Senior Staff Customer Engineer – Automotive AI
Sonatus —Dublin, County Dublin
- Azure
- Doctoral degree
- Computer Science
Quick apply
AI & Data - Agentic AI Engineer - Senior Consultant
EY —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Gym membership
Senior Product Engineer - AI Platform
Intercom —Dublin, County Dublin
- Hybrid work
- AI
- Python
- Annual leave
- Work from home
Data Analytics and AI Team Lead
Spanish Point Technologies —Clontarf, County Dublin
- Spanish
- Azure
- Computer Science
Engineering and Core Technology Manager, Security
Dolby —Dublin, County Dublin
- Computer Science
- Research
- Master's degree
Staff Insights Applications Engineer
Analog Devices —Glasnevin, County Dublin
- Full-time
- Computer Science
- Master's degree
- C++

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Director - Process Data Enablement Product Owner

Merck -
Leopardstown, County Dublin

Apply Now

Job details

Full-time
€173,200–€272,600 a year
3 days ago

Benefits

Annual leave

Qualifications

Power BI
Computer Science
SAP
Engineering
Bachelor's degree
Product management
Mentoring
Agile
Manufacturing
Data visualisation
AI
Leadership
Communication skills
Analytics
SDLC

Full job description

Job Description

Position Summary

The Director, Process Data Enablement Product Owner, is a key leadership role within the Launch Line Intelligence product line team. This individual will be responsible for defining the key capabilities, developing a roadmap and driving delivery for our process data and analytics products. This role will lead a team of product analysts and data engineers to deliver high-quality, reliable, and governed data products that enable Manufacturing Science & Technology and Commercialization customers to run Process Performance Monitoring (PPM), batch data investigations, and cross-site process robustness analyses. In addition, the role will be a key stakeholder in the development and adoption of Process Digital Twins

The Director will operate at an enterprise level, partnering with Technical Product Managers, S&T stakeholders, process data Subject Matter Experts, solution architects, data scientists, and cross-divisional IT teams to translate data needs into scalable, reusable, and compliant data engineering and analytics solutions.

Key Responsibilities

Define and communicate the product vision and roadmap for process data enablement, ensuring alignment with business goals and user needs, particularly in support of process transfer and product launch activities.
Lead, mentor, and develop a team of product analysts and data engineers, fostering a culture of innovation, collaboration, and excellence.
Oversee the entire product lifecycle from conception to sustainment, including gathering and prioritizing product and customer requirements to support the product pipeline.
Collaborate extensively with senior Science & Technology (S&T) stakeholders across all modalities (biologics, small molecule, vaccines) to ensure the successful delivery of data products and analytics solutions that meet their evolving needs.
Drive the execution of data acquisition, data quality, and data governance to ensure the reliability and integrity of our data assets.
Champion a data-driven culture by promoting data literacy and enabling self-service analytics across the organization.
Manage the product backlog and prioritize initiatives based on business value and importance to key programs.
Ensure all solutions are compliant with SDLC, GMP/GxP, and other regulatory requirements.
Foster strong relationships with key partners, including manufacturing sites, Development and Commercialization teams, and across divisional and enterprise IT, to facilitate seamless process transfers and launches.

Required Qualifications

A bachelor's degree in engineering, Computer Science, or a related field, with a minimum of 10 years of relevant experience.
Proven experience in a product ownership or product management role, with a track record of successfully launching data-intensive products.
Strong leadership skills with experience managing and mentoring teams of technical professionals.
Excellent communication and interpersonal skills, with the ability to influence and negotiate with senior stakeholders.
Strategic thinker with the ability to translate business needs into a compelling product vision.
Knowledge of biopharmaceutical manufacturing processes and associated data systems (e.g., MES, LIMS, PI, SAP).

Preferred Qualifications

Detailed Knowledge of Small Molecule API manufacturing processes
Experience with agile methodologies and a digital and innovative mindset.
Familiarity with advanced analytics, machine learning, and AI applications in a manufacturing context.
Experience with data visualization tools such as OSI PI, Power BI, or Seeq.
Background in manufacturing or process analytics (PPA/PPM), including cross site or ‑franchise level‑ analysis and GMP/GxP considerations.
Experience with agile methodologies and a digital and innovative mindset

Required Skills:

Agile Methodology, Agile Methodology, Agile Transformation, Backlog Management, Business Case Development, Business Process Analysis, Commercialization, Computer Science, Data Analytics, Data Engineering, Data Governance, Data Quality, Digital Transformation Initiatives, Incident Management, ITIL Service Delivery, IT Infrastructure Management, Manufacturing Processes, Microsoft Power Business Intelligence (BI), Objectives and Key Results (OKRs), Process Leadership, Product Backlog Management, Regulatory Requirements, Roadmapping, Scientific Software Development, Software Development Life Cycle (SDLC) {+ 2 more}

Preferred Skills:

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

The salary range for this role is

$173,200.00 - $272,600.00

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

No relocation

VISA Sponsorship:

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

1st - Day

Valid Driving License:

Hazardous Material(s):

N/A

Job Posting End Date:

06/11/2026

A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID:R400260

Apply Now

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Position Summary

Key Responsibilities

Define and communicate the product vision and roadmap for process data enablement, ensuring alignment with business goals and user needs, particularly in support of process transfer and product launch activities.

Lead, mentor, and develop a team of product analysts and data engineers, fostering a culture of innovation, collaboration, and excellence.

Oversee the entire product lifecycle from conception to sustainment, including gathering and prioritizing product and customer requirements to support the product pipeline.

Collaborate extensively with senior Science & Technology (S&T) stakeholders across all modalities (biologics, small molecule, vaccines) to ensure the successful delivery of data products and analytics solutions that meet their evolving needs.

Drive the execution of data acquisition, data quality, and data governance to ensure the reliability and integrity of our data assets.

Champion a data-driven culture by promoting data literacy and enabling self-service analytics across the organization.

Manage the product backlog and prioritize initiatives based on business value and importance to key programs.

Ensure all solutions are compliant with SDLC, GMP/GxP, and other regulatory requirements.

Foster strong relationships with key partners, including manufacturing sites, Development and Commercialization teams, and across divisional and enterprise IT, to facilitate seamless process transfers and launches.

Required Qualifications

A bachelor's degree in engineering, Computer Science, or a related field, with a minimum of 10 years of relevant experience.

Proven experience in a product ownership or product management role, with a track record of successfully launching data-intensive products.

Strong leadership skills with experience managing and mentoring teams of technical professionals.

Excellent communication and interpersonal skills, with the ability to influence and negotiate with senior stakeholders.

Strategic thinker with the ability to translate business needs into a compelling product vision.

Knowledge of biopharmaceutical manufacturing processes and associated data systems (e.g., MES, LIMS, PI, SAP).

Preferred Qualifications

Detailed Knowledge of Small Molecule API manufacturing processes

Experience with agile methodologies and a digital and innovative mindset.

Familiarity with advanced analytics, machine learning, and AI applications in a manufacturing context.

Experience with data visualization tools such as OSI PI, Power BI, or Seeq.

Background in manufacturing or process analytics (PPA/PPM), including cross site or ‑franchise level‑ analysis and GMP/GxP considerations.

Experience with agile methodologies and a digital and innovative mindset