Data Product Lead: Life Sciences & AI Impact

Abbott; Sligo; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Family health insurance

Excellent pension scheme

Life assurance

Career Development

Growing business

Job summary

Abbott is expanding its Digital, Data & AI team in Sligo and seeks a Data Product Lead to drive data product strategy, governance, and analytics adoption across Life Sciences operations. You will bridge business, data, and technology teams, shaping data standards and scalable solutions for enterprise-wide impact.

Join a dynamic, regulated life sciences environment; contribute to automation, AI-enabled capabilities, and data-driven decision-making in a global healthcare leader.

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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Skills

Stakeholder management

Communication

Influencing skills

Data & Analytics mindset

Education

Bachelor's degree (Data Analytics / CS / IS / Eng / related)

5+ years in Data & Analytics or Data Product Management

Tools

AWS

Databricks

Oracle

Power BI

Tableau

Job description

Abbott is expanding its Digital, Data & AI team in Sligo and seeks a Data Product Lead to drive data product strategy, governance, and analytics adoption across Life Sciences operations. You will bridge business, data, and technology teams, shaping data standards and scalable solutions for enterprise-wide impact.

Join a dynamic, regulated life sciences environment; contribute to automation, AI-enabled capabilities, and data-driven decision-making in a global healthcare leader.