About The Position

As Senior Manager, Data & AI Platforms, you will play a key role in SSENSE's ambition to move towards an AI Native culture within our core technical engine. You will lead and develop the Data & AI Development teams, setting and operationalizing departmental strategy and end-to-end platform roadmaps to sustain hyper-growth and power resilient digital experiences. Partnering across engineering, you will deliver core enterprise capabilities—including internal LLM gateways, vector databases, agentic workflows, and knowledge layers—while driving alignment across governance, infrastructure, and automation. In this role, you will act as a guardian of our digital ecosystem, providing leadership with clear visibility into progress, budget, and risk while driving org-wide change management for AI adoption.

Requirements

  • Bachelor’s degree in Business, Computer Science, Engineering, or a related field (MBA or Master’s degree is considered an asset).
  • Minimum 7 years of relevant experience, including direct people management of engineering teams and a proven track record of leading roadmap execution across complex initiatives.
  • Strong written and verbal communication skills in both French and English.
  • Foundational understanding of system design, enterprise AI infrastructure, ML system design, and complex data architecture (multi-source data models, compute cost optimization, scalable pipelines).
  • Proficient in Agile/DevOps frameworks (CI/CD pipelines, user stories, Scrum/Product Owner roles) and familiar with governance concepts (data classification, risk tiering, model registries).

Nice To Haves

  • You excel at designing technical plans for complex systems, evaluating short-term solutions against long-term architectural health to build scalable, sustainable solutions.
  • You objectively evaluate all key variables to make logical decisions, driving critical operational and technical blockers to resolution.
  • You act as a discreet guardian of data integrity and security, designing processes that automatically generate high-quality training data for business use cases.
  • You provide autonomous leadership for multifaceted initiatives, effortlessly navigating long-term cross-functional dependencies while mentoring and developing project leads.
  • You practice what you preach by setting up agentic workflows and embedding AI tools into your daily rituals to set the benchmark for org-wide adoption.
  • You collaborate with program leadership to measure usage across business units, proactively resolve adoption barriers, and optimize change management strategies for maximum business impact.

Responsibilities

  • Lead, manage, and grow Data & AI Developers, setting direction, facilitating Agile/Scrum activities, and owning team delivery, performance, and talent growth.
  • Establish realistic timelines, resource plans, and dependency maps across parallel workstreams spanning Governance, Platform Infrastructure, Enablement, Change Management, Data, and AI Automation.
  • Partner with engineering teams to define, drive, and deliver core capabilities, including internal LLM gateways, vector databases, agentic workflows, and knowledge layers.
  • Own the reliability, monitoring, incident response, and performance of production data pipelines, ML pipelines, custom data science models, and software products.
  • Contribute to the platform risk register and decision logs to help surface and unblock critical issues, and support the adoption of AI-native tools and LLMs in daily program rituals to assist with status synthesis, drafting, and planning.

Benefits

  • Extended health and dental benefits, including comprehensive mental health programs and coverage.
  • Parental top up program.
  • Generous employee discount on ssense.com.
  • Access to telemedicine and employee and family assistance program.
  • Savings and retirement plan matching contributions.
  • Gender Affirmation Coverage.
  • Opportunity to work with cutting edge technologies and an innovative team that’s pushing the boundaries of technology.
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