Data Product Lead/Manager

Abbott Laboratories; Sligo Municipal Borough District; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Family health insurance

Excellent pension scheme

Life assurance

Career Development

Job summary

Abbott’s Digital, Data & AI Team in Sligo seeks a Data Product Lead to define and deliver data products that create measurable business value across Abbott Diabetes Care. You’ll bridge business needs with data & technology teams to ensure data is managed as a strategic asset with ownership and governance.

You will lead end-to-end data product development, establish enterprise SOPs, and set up frameworks that support data quality, analytics, automation, and AI adoption across the organisation.

Qualifications

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, Business, or a related field.
• 5+ years' experience in Data & Analytics, Data Product Management, Business Intelligence, Data Governance, or a related discipline.
• Proven track record delivering data products and analytics solutions that drive business value.
• Strong knowledge of data management, governance, quality, architecture, analytics, and reporting.

Responsibilities

• Define, maintain, and deliver the data product vision, strategy, and roadmap for datasets, analytics, data platforms, APIs, and AI-enabled capabilities.
• Translate business requirements into scalable data product solutions that support operational excellence and business growth.
• Prioritise product features and enhancements based on business value, stakeholder needs, and strategic objectives.
• Establish and track product performance through KPIs and measurable business outcomes.
• Communicate value propositions and impact of data products to stakeholders at all levels.
• Partner with business leaders to understand challenges, secure engagement, and drive adoption of data products and capabilities.
• Define and monitor data quality metrics; ensure governance, privacy, and regulatory compliance.
• Drive self-service analytics, automation, and AI adoption to improve efficiency and decision-making.
• Manage data products through full lifecycle from concept to adoption and continuous improvement.
• Collaborate with data engineering, architecture, and analytics teams to ensure successful delivery.
• Gather user feedback and performance data to enhance product effectiveness and user experience.

Skills

Stakeholder management

Data governance

Analytics & AI

Data strategy

Cross-functional collaboration

Education

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, or related field

Tools

AWS

Databricks

Oracle

Power BI

Tableau

Job description

About Abbott

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.

Abbott in Ireland

Abbott has maintained a strong presence in Ireland since 1946 and celebrates its 80th anniversary in the country in 2026. The company supports the Irish healthcare sector with a broad portfolio spanning diagnostics, diabetes care, medical devices and nutritional products. Today, Abbott employs more than 6,500 people across ten sites located in Dublin, Donegal, Clonmel, Cootehill, Galway, Kilkenny, Longford and Sligo. Please note any offer of employment for this position is conditional upon the successful completion of a pre-employment medical examination, including drug and alcohol screening, conducted by a medical practitioner designated by the Company.

Digital, Data & AI Team in Sligo

We're growing our Digital, Data & AI team in Sligo and are seeking talented professionals who combine strong technical expertise with a deep understanding of the Life Sciences industry. This is an exciting opportunity to work at the intersection of biotechnology, pharmaceuticals, manufacturing, data, and emerging technologies. You'll play a key role in driving digital transformation initiatives that enhance operational excellence, improve decision-making, accelerate innovation, and deliver meaningful business outcomes. We're particularly interested in candidates who bring experience from pharmaceutical, biotechnology, medical device, or other regulated Life Sciences environments and are passionate about leveraging data and AI to solve complex challenges.

Purpose of the Role

The Data Product Lead will define, prioritise, and deliver data products that create measurable business value across Abbott Diabetes Care. Acting as the bridge between business, data, and technology teams, you will ensure data is managed as a strategic asset with clear ownership, governance, and outcomes. This is an exciting opportunity to build and shape key data processes from the ground up. You will lead the development of end-to-end standard work, create enterprise-wide SOPs, and establish the foundational frameworks that support data quality, analytics, automation, and AI adoption across the organisation. Working closely with stakeholders, engineers, analysts, architects, and IT partners, you will help drive data-driven decision-making and create scalable solutions that support long-term business success. Flexibility in working hours will be required to support collaboration across global teams and business priorities.

Key Responsibilities

Data Product Strategy & Delivery

• Define and maintain the vision, strategy, and roadmap for assigned data products, including datasets, analytical solutions, data platforms, APIs, and AI-enabled capabilities.
• Translate business requirements into scalable data product solutions that support operational excellence and business growth.
• Prioritise product features and enhancements based on business value, stakeholder needs, and strategic objectives.
• Establish and track product performance through defined KPIs and measurable business outcomes.
• Clearly communicate the value proposition and business impact of data products to stakeholders at all levels.

Stakeholder Management

• Partner with business leaders and subject matter experts to understand challenges, opportunities, and data requirements.
• Lead alignment across business and technical stakeholders to define priorities, secure engagement, and drive adoption of data products and capabilities.
• Act as the primary liaison between business teams and technical delivery teams throughout the product lifecycle.
• Build strong relationships across Data, AI & Analytics, IT, Operations, Quality, Supply Chain, Engineering, and Commercial functions.

Data Governance & Quality

• Define and support the implementation of Data Quality Frameworks, standards, controls, and monitoring processes to ensure trusted and reliable data across the enterprise.
• Partner with Data Architecture teams to ensure data products align with enterprise data strategies, architecture principles, and target-state data platforms.
• Ensure data products comply with Abbott's data governance, security, privacy, and regulatory requirements.
• Collaborate with data governance teams to establish data ownership, stewardship, and accountability frameworks.
• Define and monitor data quality metrics, driving continuous improvements in data accuracy, consistency, and reliability.
• Support compliance with applicable healthcare, privacy, and corporate data standards.

Analytics, Automation & AI

• Drive adoption of self-service analytics solutions that empower users to access trusted data and insights.
• Champion automation opportunities that improve business efficiency and decision-making.
• Promote and enable data literacy across the organisation by helping users understand, trust, and effectively leverage data, analytics, and AI capabilities.
• Identify innovative opportunities to apply data, analytics, automation, and AI to solve business challenges and improve operational performance.
• Promote the responsible use of AI and advanced analytics to deliver actionable business insights.
• Stay informed on emerging trends, technologies, and best practices in data management, analytics, and artificial intelligence.

Product Lifecycle Management

• Manage data products through their full lifecycle, from concept and prioritisation through development, deployment, adoption, and continuous improvement.
• Work closely with data engineering, architecture, and analytics teams to ensure successful delivery of data solutions.
• Gather user feedback and performance data to continuously enhance product effectiveness and user experience.
• Monitor product adoption and measure realised business value.

Education & Experience

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, Business, or a related field.
• 5+ years' experience in Data & Analytics, Data Product Management, Business Intelligence, Data Governance, or a related discipline.
• Proven track record delivering data products and analytics solutions that drive business value.
• Strong knowledge of data management, governance, quality, architecture, analytics, and reporting.
• Experience defining product strategy, roadmaps, KPIs, and success measures.
• Ability to translate business needs into scalable data solutions and work effectively across business and technology teams.
• Strong stakeholder management, communication, and influencing skills.
• Experience driving the adoption of data products and promoting a data-driven culture.
• Strategic, innovative mindset with a passion for data, analytics, AI, and emerging technologies.

Preferred

• Experience within regulated Life Sciences, Medical Device, Pharmaceutical, Healthcare, Manufacturing, or similar environments.
• Knowledge of compliance, data integrity, privacy, and regulatory requirements.
• Experience with cloud data platforms, enterprise data ecosystems, and data governance frameworks.
• Familiarity with Agile delivery, AI/ML, advanced analytics, and intelligent automation.
• Experience managing enterprise data products across multiple functions or regions.
• Relevant certifications in Product Management, Data Management, Agile, Analytics, or Cloud Technologies.
• Experience with platforms such as AWS, Databricks, Oracle, Power BI, and Tableau.

What we Offer

• Family health insurance
• Excellent pension scheme
• Life assurance
• Career Development
• Growing business plus access to many more benefits.

Contact and Company Information

The base pay for this position is N/A. In specific locations, the pay range may vary from the range posted.

JOB FAMILY: Operations Quality DIVISION: ADC Diabetes Care LOCATION: Ireland > Sligo : Castle Street ADDITIONAL LOCATIONS: WORK SHIFT: Ie - Dl39S9 (Ireland) TRAVEL: Yes, 10 % of the Time MEDICAL SURVEILLANCE: Yes SIGNIFICANT WORK ACTIVITIES: Not Applicable.

Abbott is an equal opportunities employer. An equal opportunity employer, Abbott welcomes and encourages diversity in our workforce.

Abbott is about the power of health. For more than 135 years, Abbott has been helping people reach their potential — because better health allows people and communities to achieve more. With a diverse, global network serving customers in more than 160 countries, we create new solutions — across the spectrum of health, around the world, for all stages of life. Whether it’s next-generation diagnostics, life-changing devices, science-based nutrition, or novel reformulations, we are advancing some of the most innovative and revolutionary technologies in healthcare, helping people live their best lives through better health. The people of Abbott come to work each day with relentless energy, enthusiasm and a promise to enhance the health and well-being of millions of people. They push the boundaries to help manage and treat some of life’s greatest health challenges.