AI & Governance Manager (Advisor to CIO)

• More than 5 years of experience in consulting or corporate roles (strategy, digital transformation, or AI).
• Demonstrable experience in AI/advanced analytics projects.
• Experience working with senior stakeholders (C-level).
• Solid understanding of AI technologies (ML, GenAI, data).
• Knowledge of AI and data governance frameworks.
• Experience in defining digital or technology strategy.
• Strong communication skills and executive storytelling.
• Strategic vision and business orientation.
• Ability to structure complex problems.
• High autonomy and ability to influence.

• Leadership and results orientation.
• Analytical thinking and ability to prioritize in dynamic environments.
• Clear and effective communication with technical and executive profiles.
• Autonomy, commitment, and adaptability to change.
• Collaborative attitude and a constructive approach to challenges.

• Previous experience in Big4 or strategy/technology consulting firms.
• Experience in large-scale digital transformation programs.
• Knowledge of cloud environments (Azure, AWS, GCP).
• Familiarity with AI regulations (AI Act, GDPR).

• Fluent English (advanced level required).

• Direct exposure to the CIO and management committee.
• Key role in defining the company's AI strategy.
• Cross-functional impact across multiple business areas.
• Hybrid position between strategy, technology, and business.
• The opportunity to lead Artificial Intelligence and digital transformation projects with real impact in international organizations.
• Access to advanced technologies in cloud, data, and AI.
• A collaborative, dynamic, and global environment within a growing firm.
• Continuous training and professional development plans.
• Social benefits, compensation package commensurate with experience, 23 working days of vacation plus 3 personal days, flexible working hours, and a hybrid work model.
• Personalized career and training plan.
• Belonging to an international company in full expansion, part of a large business group, with a culture of closeness and open doors that values each person individually.

Join BIP - xTech, BIP's Center of Excellence specializing in consulting and digital transformation across data architecture and governance, AI models, cloud adoption and architecture, security, virtualization, modern workplace, environment automation, SecDevOps, application modernization, IoT solutions, and Industry 4.0.
At BIP - xTech, we are a multidisciplinary team that adds value through technology implementation projects within digital transformation processes, connected to strategy and consulting initiatives, leveraging sector-specific knowledge to offer ad-hoc solutions to our clients.

We are looking for a professional with experience in Artificial Intelligence applied to the corporate environment to act as a strategic advisor to the CIO, helping to define, structure, and deploy the AI vision within the organization. The role combines technical AI capability with a strong focus on business, strategy, and governance, with key interaction involving senior management and stakeholders.

You will lead projects where Artificial Intelligence and advanced analytics drive efficiency, innovation, and data-based decision-making. You will collaborate closely with technical teams, data scientists, and business stakeholders, ensuring the proper definition of objectives, roadmap planning, and execution under the highest standards of quality and governance.

Common challenges include implementing AI solutions in cloud environments, coordinating multidisciplinary teams in international contexts, managing organizational change associated with technological adoption, and communicating results at the executive level.

We are looking for someone with a solid track record in leading technology projects, capable of connecting strategic vision with practical execution, and experienced in managing digital transformation programs, advanced analytics, or intelligent automation.

• Designing the AI roadmap aligned with business objectives.
• Identifying priority use cases and their impact (value vs. effort).
• Evaluating technology trends and their applicability within the company.
• Defining AI governance frameworks (risks, compliance, ethics, security).
• Establishing operating models (centralized, federated, CoE).
• Promoting best practices in data and model management.
• Supporting the implementation of AI solutions (build vs. buy).
• Defining criteria for selecting tools and vendors.
• Driving internal adoption (change management, training, culture).
• Translating technical capabilities into business impact.
• Preparing executive materials for management committees.
• Acting as a bridge between technical teams, IT, and the business.
• Ensuring alignment between AI projects and the overall strategy.
• Defining success KPIs and monitoring mechanisms.

• Occasional travel, day trips.