Data & AI – Life Sciences Senior Manager
The Data and AI revolution is transforming industries, and Life Sciences is at the forefront of this change.
Join Accenture and help leading organisations in the Biopharma, Medtech, Lab, and associated industries transform and enhance their data and analytics capabilities.
Accenture Data & AI is driving these exciting changes across 40 industries in more than 120 countries.
The scale of our capabilities and client engagements, combined with our collaborative ecosystem, provides an unparalleled opportunity to grow.
Our practice covers a range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering, Visual Insights, and Generative AI solutions.
When combined with Accenture's broader Strategy and Consulting practice, we bring together the unique ability to drive end-to-end business change!
The Role
As a
Data & AI - Life Sciences Senior Manager
, you will bring deep Life Sciences industry knowledge and digital transformation experience across core product lifecycle domains, including Process development (drug substance, drug product or analytical methods), CMC, Tech Transfer, Manufacturing, Quality, and Supply Chain.
You will lead complex Data & AI transformation programmes for pharmaceutical, Biotech, and Medtech clients, driving digital product lifecycle modernisation powered by data, analytics, and cutting-edge platforms.
You will operate at the intersection of data and process transformation, guiding Life Sciences organisations through enterprise-wide Data & AI strategy initiatives.
From R&D to commercial manufacturing and quality, you will design and deliver value-led, compliant solutions that enable innovation, speed to market, and operational excellence.
If you're looking for an exciting career in a vibrant environment with access to training and a global network of experts, this could be the role for you.
As part of our global team, you\'ll be working with innovative technologies and will have the opportunity to develop a wide range of new skills on the job.
In our team you will learn:
At the forefront of the Life Sciences industry, you'll create, own, and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises.
Become an integral part of our Data & AI team with the credibility, expertise, and insight clients depend on.
You will be working with famous brands and household names – no worrying about how to explain what you do to your family again!
Responsibilities:
Provide strategic consulting to help Life Sciences and Pharmaceutical clients develop and scale market-leading data and analytics solutions across their manufacturing processes and product lifecycle—from development through commercialisation
Shape and deliver Data & AI transformation programmes across R&D, manufacturing, quality, and supply chain functions for Life Sciences clients.
Work with the Data & AI Life Sciences Lead to oversee the Life Sciences Data & AI practice and drive strategic growth within the Irish market, ensuring alignment with the broader organisational goals.
Act as a trusted advisor to C-suite executives and senior business leaders (VPs, Heads of process development/CMC/Manufacturing/Quality), providing guidance on AI, data science, and analytics strategies that drive business transformation.
Develop long-term client relationships by identifying opportunities to apply AI, data-driven insights, and GenAI solutions to key business challenges, resulting in measurable outcomes.
Lead the development of AI and analytics roadmaps, aligning solutions with clients' strategic goals and business needs.
Drive the delivery of cutting-edge AI, machine learning, and GenAI solutions across multiple client engagements, ensuring technical excellence and practical applicability.
Provide thought leadership in emerging AI trends, technologies, and methodologies, including GenAI, helping clients adopt state-of-the-art approaches.
Oversee the development and deployment of machine learning models, algorithms, data pipelines, and GenAI solutions, ensuring they are scalable, explainable, and ethical.
Lead multiple, complex AI and analytics projects, including those involving GenAI, ensuring successful execution from inception through to delivery.
Lead and mentor a team of data scientists, AI experts, consultants, and engineers, fostering a culture of collaboration, innovation, and continuous learning.
Develop talent by providing coaching, feedback, and career development opportunities, ensuring that the team grows and maintains cutting-edge skills.
Leverage AI, advanced analytics, and Gen AI to enable predictive manufacturing, digital quality, and smart regulatory submissions.
Partner with internal teams across Data & AI, Cloud, and Industry X to co-create innovative, integrated solutions.
Collaborate with other senior leaders across the organization to shape internal AI capabilities and ensure knowledge sharing across teams.
Qualifications:
10+ years of experience in data science, machine learning, and AI, with at least 5 years in a leadership or senior management role, ideally within a consultancy or client-facing environment.
Proven expertise in the Life Sciences industry with deep knowledge across core product lifecycle domains, including Process Development (drug substance, drug product, or analytical methods), CMC, Tech Transfer, Manufacturing, Quality, and Supply Chain, combined with a strong track record in driving digital transformation initiatives.
Proven track record of successfully delivering large-scale AI and data science projects, including managing multiple senior stakeholders, including C-suite level.
Demonstrated experience managing multi-disciplinary teams across data science, engineering, and consulting functions.
Strong business development experience, including leading client pitches, winning new business, and expanding relationships with key stakeholders.
Expert-level knowledge of machine learning algorithms, AI technologies, and big data platforms (e.g., Python, R, SQL, TensorFlow, PyTorch, Spark).
Extensive experience with cloud platforms and services (AWS, Azure, Google Cloud) for AI and data analytics.
Deep understanding of data governance, model explainability, AI ethics, and regulatory compliance in AI.
Ability to drive innovation through emerging AI technologies (e.g., NLP, computer vision, reinforcement learning).
What's in for you:
At Accenture Ireland, in addition to a competitive base salary, you will also have an extensive benefits package which includes pension, private health insurance, discounts through our employee discount scheme, 25 days of holidays and 2 days' leave per year for charitable work of your choice!
Flexible working arrangements can be discussed depending on the position.
Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and improve citizen services—creating tangible value at speed and scale.
We are a talent and innovation led company with 732,000 people serving clients in more than 120 countries.
Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships.
We combine our strength in technology with unmatched industry experience, functional expertise and global delivery capability.
We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Accenture Song.
These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients succeed and build trusted, lasting relationships.
We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at
Accenture reserves the right to close the role prior to this date should a suitable applicant be found.
All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as applicable by law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
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