Business Analyst
Monterrey, N.L., Mexico
Endava
Combining world-class engineering, AI-native delivery and industry expertise to enable businesses to shape the future with intelligence.Company Description
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.
Job Description
Analysis teams identify client needs, analyze processes, and propose solutions to align with strategic goals. While fostering efficiency and ensuring organizational success through systematic approaches, they also mediate between clients and engineering teams to ensure project clarity.
The Senior Business Analyst will play a key role in defining, structuring, and driving delivery for a highly innovative AI-enabled product—one that leverages artificial intelligence to develop and optimize other AI systems. In this emerging and exploratory context, you will act as a strategic bridge between business stakeholders, product teams, and multidisciplinary technical groups, shaping value-driven, testable, and scalable product capabilities.
This is a hybrid role that combines advanced Business Analysis with strong Product Owner instincts. It requires the ability to manage uncertainty, align stakeholders, and convert abstract ideas into actionable solutions.
Key Responsibilities
- Establish strong relationships with stakeholders by understanding their domain, needs, and long-term goals.
- Lead the discovery, refinement, and validation of business and functional requirements for AI-centric workflows, including those that generate or assist in developing other AI models.
- Own the product backlog: create, prioritize, and evolve user stories and acceptance criteria aligned with business strategy and technical feasibility.
- Facilitate collaborative workshops with product, UX, engineering, and data teams to explore solutions, manage trade-offs, and clarify value.
- Actively manage ambiguity and enable informed experimentation by defining hypothesis-driven features and test metrics.
- Identify and track dependencies, risks, assumptions, and decisions, especially those tied to model performance, ethical considerations, and regulatory compliance.
- Represent the product vision in key stakeholder conversations, continuously validating its evolution against market trends and user needs.
- Mentor peers and contribute to the growth of the Business Analysis discipline within the organization.
Qualifications
- 7+ years of experience in Business Analysis, with at least 3 years in Product Owner or hybrid BA/PO roles.
- Proven track record defining digital products in agile or iterative environments.
- Experience working with data-driven or AI-assisted platforms (not necessarily as model expert).
- Strong analytical thinking with ability to break down ambiguous problems and design structured solution paths.
- Proficient in user story writing, backlog management, and requirement traceability.
- Effective communicator with the ability to synthesize and translate complex ideas for technical and non-technical audiences.
- Experience working with cross-functional teams including engineers, designers, and data scientists.
- Skilled in facilitation, stakeholder alignment, and solution co-design.
Desirable Skills for AI-Centric and Emerging Technology Projects
- Conceptual understanding of AI/ML principles (e.g., training data, models, prompts, explainability, accuracy vs bias).
- Experience working in non-deterministic environments where outcomes vary depending on model performance.
- Familiarity with ethical concerns, governance frameworks, and compliance considerations in AI development.
- Ability to define product metrics in exploratory settings (e.g., precision, recall, user feedback loops).
- Exposure to design thinking, dual-track agile, or similar iterative discovery frameworks.
- Experience in content lifecycle, regulated industries, or compliance-driven delivery contexts is a plus.
Core Mindsets and Soft Skills
- Curiosity & Continuous Learning – You actively explore what you don’t yet know, especially around AI, data, and emerging technologies.
- Systems Thinking – You understand the interplay between models, data, user behavior, and business strategy.
- Comfort with Ambiguity – You thrive in environments where discovery and delivery happen in parallel.
- Collaborative Influence – You lead without authority, connect perspectives, and align diverse stakeholders toward common goals.
- Experimentation & Adaptability – You define success iteratively, test assumptions, and help the team pivot as new insights emerge.
Additional Information
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
- Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
- Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
- Health: Global internal wellbeing programme, access to wellbeing apps;
- Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.
At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Engineering Finance Machine Learning UX
Perks/benefits: Career development Competitive pay Conferences Flex hours Health care Salary bonus Team events
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