Support the Compliance and Client Lifecycle Integrity (CLI) departments by simplifying access to data, automating processes and contributing to the development of AI into the tasks of the Compliance and Client Lifecycle Integrity departments.
Responsibilities
Process streamlining and automation
Data Stewardship
Reporting & Regulatory Support
Compliance Analysis
Ad-hoc Projects
Requirements
Master's degree in a Quantitative field, Engineering, Computer Science or Data Science
Lead product analytics and build the experimentation engine, scaling to 50+ A/B tests a month while managing a team of BI analysts.
Responsibilities
Own experimentation end to end: configure and scale existing A/B testing platform, set standards for test design, sample sizing, metrics and guardrails, and review results.
Train product managers and operations leads to run sound experiments themselves and build playbooks, templates, and review rituals.
Define the analytical data model: entity and event design that joins consistently across product flows, slowly changing dimensions, a semantic layer, and metric definitions.
Introduce data contracts and governance standards with Tech and Data Engineering.
Coach and grow a team of three junior analysts and one senior analyst.
Garant de la qualité, de la sécurité et de la gouvernance du patrimoine de données, vous assurez la mise en œuvre des standards de gestion des données tout au long de leur cycle de vie et accompagnez les équipes métiers et techniques dans les projets de transformation Data.
Responsibilities
Participer à la mise en œuvre et à l'animation de la gouvernance des données.
Administrer et maintenir les catalogues de données, métadonnées et référentiels associés.
Assurer la qualité, la cohérence et la traçabilité des données (Data Lineage).
Mettre en œuvre les politiques d'accès et d'habilitation en collaboration avec les équipes sécurité.
Superviser la classification des données sensibles et contribuer au respect des exigences réglementaires (RGPD).
Design and lead the operating model and architecture for Artefact’s Data & GenAI Center of Excellence, steering data products from demand through rollout.
Locations (2)
Zürich, Zurich, Switzerland
Lausanne, Vaud, Switzerland
Compensation
Highly competitive compensation package
Responsibilities
Design the Data & AI operating model and organization
Define the target data platform architecture on cloud and Databricks
Run make-or-buy analyses and vendor selections
Ensure architecture, security and data governance choices align with enterprise standards
Gather and formalize functional requirements for data products
Design and lead the operating model and architecture for Artefact’s Data & AI and GenAI Center of Excellence, steering data products from demand through rollout.
Locations (2)
Zürich, Zurich, Switzerland
Lausanne, Vaud, Switzerland
Compensation
Highly competitive compensation package
Responsibilities
Design the Data & AI operating model and organization
Define target data platform architecture on cloud and Databricks
Run make-or-buy analyses and vendor selections
Ensure architecture, security and governance consistency
Architecting and guiding the NTIA FSDS platform, focusing on cloud platforms across Azure Commercial and Azure Government environments.
Responsibilities
Own the FSDS platform roadmap across its component systems, aligning priorities with NTIA program goals, application team needs, and security requirements.
Define target-state architecture and integration patterns that connect FSDS applications, data services, and external federal systems.
Lead architecture as the platform matures and expands to new environments.
Weigh architecture tradeoffs across cost, security, operability, and the constraints of federal environments.
Lead technical planning for new FSDS capabilities, migrations, and environment expansions, including scope, dependencies, sequencing, and estimates.
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
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