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Hovione

CDMO for complex drug APIs manufacturing

Digital Strategy & AI Transformation

Business OperationsPosted on Nov 6
Full-timeLisbon, PortugalNo salary listedIn-person

About the Job

Requirements

  • A university or equivalent qualification in Information Technology or a similar scientific field is mandatory.
  • A proven track record of more than 2 years identifying, shaping, and delivering artificial intelligence or generative artificial intelligence use cases in an enterprise context, from discovery through pilot to adoption is required.
  • Typically, 5–8 years of relevant experience in business process management or product management in an agile environment is required.
  • Exposure to artificial intelligence, data, or task-automation initiatives is required.
  • Experience working within business teams in a consultative or forward-deployed capacity, translating ambiguous business problems into practical technology solutions, is required.
  • Experience moving artificial intelligence or digital solutions from proof of concept to production-ready, adopted solutions in collaboration with technical delivery teams is required.
  • Experience managing stakeholders across all organizational levels is required.
  • Experience developing and spearheading implementation of digital transformation initiatives is required.
  • Strong process-mapping and value-engineering skills are required.
  • Experience driving continuous-improvement initiatives, including change management, is required.
  • Experience leading adoption of artificial-intelligence-enabled ways of working, such as artificial intelligence literacy programs and champions networks, is required.
  • Strong communication and presentation ability, including explaining artificial intelligence concepts, risks, and value to non-technical audiences and senior leadership, is required.
  • A solid understanding of artificial intelligence concepts and business applications, including generative artificial intelligence, large language models, agents and agentic workflows, knowledge grounding, prompt engineering, and their limitations, is required.
  • Hands-on proficiency configuring low-code artificial intelligence solutions, specifically agents in Microsoft Copilot Studio, is required.
  • An understanding of data and integration foundations for artificial intelligence, including data quality, data access, application programming interfaces, and connectors, sufficient to engage credibly with architects and engineers, is required.
  • Strong prioritization methodology using agile and Scrum best practices alongside rapid experimentation and iterative prototyping approaches is required.
  • Fluency in English is required.
  • Computer literacy and good working knowledge of Microsoft Office, including advanced use of Microsoft 365 Copilot, is required.

Responsibilities

  • Define and align the artificial intelligence digital transformation roadmap with Hovione’s strategic goals and business-area priorities, using value cases, success metrics, and benefit-tracking mechanisms.
  • Assess business-process and technology maturity in assigned functions to identify improvement opportunities and evaluate artificial intelligence readiness and potential business benefits.
  • Apply Hovione’s Digital Portfolio Management Framework and drive the ideation and preparation stages of the project lifecycle, compiling, assessing, and prioritizing artificial intelligence use cases under portfolio governance.
  • Act as an embedded artificial intelligence partner in assigned business areas, rapidly discovering opportunities and translating ambiguous business problems into actionable use cases.
  • Contribute field-engagement learnings to the development and evolution of Hovione’s artificial intelligence strategy and roadmap.
  • Build partnerships with business stakeholders to align digital-transformation priorities and artificial intelligence adoption.
  • Engage sponsors to secure support and resources for digital-transformation initiatives.
  • Advise business leaders on artificial intelligence, challenge assumptions, frame problems before solutions, and recommend pragmatic decisions when information is incomplete.
  • Partner with Infrastructure, Data, Integrations, Cybersecurity, Quality, and Compliance teams to ensure artificial intelligence solutions are secure, scalable, and aligned with enterprise standards and architectural principles.
  • Gather and analyze requirements for business capabilities introduced or enhanced through digital-transformation initiatives; for artificial intelligence use cases, define data and knowledge sources, expected outputs, human-in-the-loop controls, and acceptance criteria.
  • Maintain and optimize the requirements backlog according to business value, strategic impact, and risk; maintain an artificial intelligence use-case pipeline with clear status, value, and risk visibility.
  • Identify opportunities to increase awareness, training, and adoption of existing digital solutions and their applicability to business processes; drive artificial intelligence literacy and adoption initiatives, including enablement journeys, champions networks, and prompting guidance.
  • Validate artificial intelligence ideas through proofs of concept and pilots, working with end users to iterate on solutions, test assumptions, and address real-world problems.
  • Identify reusable patterns, prompts, agents, and components from field engagements and share them with Digital teams to scale successful solutions into enterprise capabilities.
  • Hand over validated prototypes to delivery teams and external partners with clear business rationale, requirements, and non-functional considerations for industrialization.
  • Identify and evaluate digital solutions using assessment processes and end-to-end impact and feasibility analysis with system owners, process owners, and technical leads; assess artificial intelligence platforms, agents, and features embedded in vendor applications for fit, feasibility, risk, and total cost of ownership.
  • Research user needs, business practices, and competitor approaches to inform solution design and continuous improvement.
  • Monitor emerging technologies, market trends, and innovative solutions and assess their organizational relevance and potential value.
  • Coordinate requirements handover to project teams with detailed business rationale.
  • Support digital-solution lifecycle management to ensure compliance and business value; monitor artificial intelligence solution adoption, output quality, and value realization in operation, and drive continuous improvement.
  • Ensure compliance with IT governance, standards, and policies, including Hovione’s artificial intelligence policy, data privacy, and applicable GxP and computerized-system validation requirements.
  • Contribute to artificial intelligence governance practices, including use-case risk classification, human oversight, solution and agent lifecycle management, and enterprise standards and best practices.
  • Regularly review business-area and digital-function needs and priorities to align priorities and validate projected resource requirements.
  • Manage budget allocation and pipeline prioritization in line with Hovione’s strategic objectives and business-area requirements; maintain transparent communications and updated resource forecasts, including artificial-intelligence cost drivers such as licensing and consumption.
  • Ensure delivery of the digital roadmap on time, within scope, and within budgetary constraints.

Desired Qualifications

  • Experience in project management and project-management certifications is desired.
  • Experience in regulated industries, including pharmaceuticals or life sciences, and GxP environments is desired.
  • Working knowledge of Microsoft Power Platform, including Power Automate and Power Apps, and SharePoint as enablers of artificial-intelligence-powered workflows is a plus.
  • Knowledge of Responsible AI, artificial intelligence governance, and regulatory frameworks such as the EU AI Act, GDPR, and GxP/computerized-system validation is a plus.

About the Company

Hovione

CDMO for complex drug APIs manufacturing

Hovione is a contract development and manufacturing organization that creates and scales active pharmaceutical ingredients (APIs) for medicines. It handles complex chemistry and specializes in processes like particle engineering and spray drying to improve drug absorption. It differentiates itself through a long history of tackling difficult compounds, deep manufacturing expertise, and an FDA-inspected global footprint across Portugal, Ireland, China, and the US. Its goal is to help drug developers bring new medicines to market efficiently by providing high-quality, scalable manufacturing and expanding capacity, especially in the U.S.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Loures, Portugal
Founded
1959

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