Lead complex consulting and implementation engagements for banks, fintechs, and processors, combining payments and technical expertise with strategic and commercial thinking.
Compensation
The estimated salary range for a new hire into this position is €80,500 - €132,175 which may include potential sales incentive payments (if applicable).
Responsibilities
Lead client-facing change initiatives from current state to target solution
Develop comprehensive solution architectures
Design robust and scalable solutions
Facilitate effective collaboration among business and technology colleagues
Build the Salesforce Data 360 foundation for client personalisation, marketing automation, and Agentforce programs, involving discovery, data stream mapping, and identity resolution.
Responsibilities
Lead client discovery and requirements sessions, turning business goals into a Data 360 design.
Design and configure data streams, data model mapping and identity resolution.
Build calculated insights and segments with documented definitions and refresh schedules.
Run data quality, consent, and mapping checks.
Manage workstream scope, plan, budget, and communication using Kantata and Jira.
Requirements
Salesforce certification in Data 360 (Data Cloud) Consultant
Own the commercial health and client relationship of Databricks data and AI engagements, turning delivery results into proven business value and new use cases.
Compensation
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
Responsibilities
Own engagement's commercial health and budget
Serve as trusted advisor to client executives
Manage scope, change, and financials
Lead steering committees
Partner with Sales and Solutions Architects
Requirements
Bachelor's degree in Business, Information Technology, Engineering or a related field
Nice to have: Experience at a Databricks partner
Nice to have: Experience in financial services or healthcare
Nice to have: Databricks certification
Nice to have: PSA and delivery tooling (Ruddr, Jira, Asana, Notion)
Lead cross-functional teams to define strategy, discover opportunities, and deliver digital products that solve real customer problems and drive business outcomes.
Responsibilities
Serve as a trusted advisor to clients, leading product-related decisions and stakeholder alignment.
Conduct market, business, and user research to translate insights into product strategy and roadmaps.
Define product vision and KPIs; manage backlogs, prioritize features, and make trade-offs.
Facilitate discovery, requirements workshops, and cross-functional collaboration with Engineering, Design, and Delivery.
Lead agile ceremonies with globally distributed teams; manage risks, dependencies, and timelines.
Lead AI Engineer responsible for designing, building, and shipping generative AI systems and agentic solutions for Bain’s clients.
Responsibilities
Contribute to the design, development, and deployment of end-to-end generative AI systems, including multi-agent workflows and production-grade AI applications.
Build and iterate on multi-component AI pipelines such as Retrieval-Augmented Generation, fine-tuning, embedding generation, hybrid retrieval strategies, reasoning, tool use, and orchestration across AI workflows.
Build and contribute to agentic systems, applying sound engineering principles around separation of concerns, memory architecture, and tool integration.
Contribute across the full stack: model experimentation, evaluation design, and production system deployment.
Build and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliability.
Requirements
Nice to have: French language proficiency at C1 level or higher
Nice to have: experience mentoring peers
Nice to have: experience with ReAct, RLAIF, and other HITL + feedback loops
Nice to have: experience with hybrid or graph-based retrieval approaches
Helping international, multigenerational families develop their human capital to support their long-term strategy through bespoke leadership, talent, and capability programs.
Responsibilities
Shaping and developing the offering’s scope, approach and standards, drawing on client insights and relevant developments in human capital and learning.
Building the capabilities required to deliver distinctive, high-quality solutions to meet different client needs.
Working with Family Advisory colleagues to understand clients’ objectives and identify individual and collective development priorities.
Designing bespoke development journeys that combine relevant expertise, engaging learning formats and practical experiences, tailored to family members’ aspirations and responsibilities.
Mobilising and coordinating internal experts, external specialists and institutional partners to ensure effective programme delivery.
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Lead, AI Engineering (m/f/d)Bain & Company · Paris, France
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Family Learning & Development Advisorbanquepict · Switzerland