Data & AI Manager

• Identify and develop new business opportunities around Data, AI and digital transformation.
• Build and maintain strong relationships with senior client stakeholders, acting as a trusted advisor.
• Contribute to account development strategies and identify opportunities for expanding existing engagements.
• Lead or contribute to RFPs, proposals, pitches, statements of work and business cases.
• Support the development of Eraneos’ Data & AI offering and go-to-market initiatives.

2.Data & AI Strategy

• Advise clients on how to define and execute their Data & AI strategy aligned with business objectives.
• Assess data and AI maturity, ecosystems, capabilities and operating models.
• Define transformation roadmaps, target architectures and implementation priorities.
• Identify opportunities where data, analytics and AI can create measurable business value.
• Translate business challenges into pragmatic and scalable Data & AI solutions.

3.Project & Delivery Leadership

• Lead complex Data & AI transformation projects from strategy through implementation.
• Own project delivery, ensuring scope, quality, timelines, budget and client satisfaction.
• Manage senior stakeholders across business, IT, data and operations.
• Coordinate multidisciplinary teams and technology partners throughout the project lifecycle.
• Identify and manage delivery risks, dependencies and opportunities.

4.Technical & Functional Expertise

• Bring strong hands-on understanding of modern Data & AI ecosystems and technologies.
• Provide guidance on data platforms, cloud technologies, analytics, AI/ML and emerging GenAI capabilities.
• Evaluate technology options and support clients in selecting the right platforms and solutions.
• Understand data architecture, data governance, data engineering, analytics and AI use cases at a level that enables you to challenge and guide technical teams.
• Ensure that technical solutions are aligned with business objectives, scalability, security and long-term value.

5.Data Governance & AI Transformation

• Support clients in establishing effective Data Governance, Data Management and Data Operating Models.
• Advise on responsible AI, regulatory requirements and the governance of AI initiatives.
• Help organizations establish the capabilities, processes and organizational models required to scale Data & AI.
• Define and support the implementation of initiatives that turn Data & AI strategies into measurable business outcomes.

6.Team Leadership & People Development

• Lead and mentor consultants and senior consultants within Data & AI projects.
• Support team development, capability building and knowledge sharing.
• Contribute to recruitment and development of Data & AI talent.
• Act as a role model for Eraneos’ consulting culture and ways of working.

Are you an experienced Data & AI professional with a strong consulting mindset, a passion for digital transformation, and a proven track record in business development and project leadership?, We are looking for someone with 10-15 years of experience in Data & AI, who can engage confidently with C-level stakeholders, lead complex transformation initiatives, develop new business opportunities, and bring enough technical depth to challenge solutions and guide clients towards the right technology and operating model., * 10-15 years of professional experience in Data, Analytics, AI or Digital Transformation consulting.

• Proven experience leading Data & AI transformation projects in complex organizations.
• Strong track record in business development, account management and/or consulting sales.
• Experience leading RFPs, proposals and client pitches.
• Strong project and stakeholder management skills, including experience engaging with C-level and senior business stakeholders.
• Solid technical understanding of modern Data & AI ecosystems, including areas such as:
• Data platforms & architectures
• Cloud technologies
• Data Engineering & Analytics
• Data Governance & Data Management
• AI / Machine Learning / GenAI
• Ability to connect business strategy, technology and execution.
• Experience managing project teams and mentoring consultants.
• Strong communication, presentation and negotiation skills.
• A pragmatic, entrepreneurial and client-oriented mindset.
• Fluency in English and Spanish.