Jobs at Sedona Digital

Execute enterprise migrations from Percona Server for MongoDB to MongoDB Atlas, including environment assessment, migration planning, automation, data validation, performance tuning, security configuration, production cutovers, rollback planning, troubleshooting, documentation, stabilization, and knowledge transfer. Collaborate with architects, infrastructure, security, and application teams across migration activities.

The role involves managing multiple business change projects, coordinating stakeholders, leading business analysis, and ensuring project success across various departments.

Develop and deploy machine learning and statistical models that solve business problems and create measurable impact. Responsibilities include exploratory data analysis, feature engineering, experimentation, model optimization, explainability, MLOps, prompt engineering, and cloud-based data collaboration. The role involves working with clients and stakeholders, communicating insights through visualization and storytelling, and contributing to scalable analytics, Generative AI, and data science solutions.

Lead enterprise-scale data science and AI initiatives, defining lifecycle best practices, architecture, governance, metadata frameworks, and MLOps practices. Design and deploy machine learning, statistical, optimization, and LLM solutions using cloud platforms. Lead multidisciplinary teams, translate business needs into analytical solutions, collaborate with engineers and stakeholders, and communicate insights to technical and executive audiences.

Lead improvement of operational processes, manage intake/workflows and BAU activities, ensure data quality in Dynamics 365 Business Central, support UAT and system enhancements, produce reporting and dashboards, coordinate cross-functional stakeholders, and document scalable SOPs and process changes.

The Senior Data Scientist will design and deploy end-to-end machine learning solutions using Azure, collaborate on data sets, optimize models, and communicate insights to stakeholders.

Design, implement and improve cloud platform services and CI/CD pipelines; automate operations; mentor juniors; support Windows, Linux and Kubernetes environments; collaborate on security remediation and provide platform expertise (GitLab, Docker, AWS, Terraform, Istio, Kafka, ELK).

Design and implement scalable Azure data platforms, develop data pipelines, and support clients with data modernization and governance practices.

Lead technical recruiting for software, data engineering and DevOps roles: source and engage candidates, screen and interview, manage pipelines, collaborate with hiring managers, support offers and onboarding, and maintain ATS reporting and recruitment metrics.

Lead data architecture and AI-enabled transformation projects for UK insurance clients: define architectures, govern data/AI, run metadata discoveries, assess data assets, support engineering delivery, and drive change management and adoption across multidisciplinary teams.

Conduct 60-minute technical interviews for senior data engineering candidates, evaluate cloud-based data platform architecture, ETL/ELT pipelines, distributed processing, security, data modelling, and communication. Complete scorecards, provide hiring recommendations, and collaborate with recruiters to improve assessments.

Lead and scale a global technology-focused talent acquisition function, managing a team of recruiters while strategizing recruitment across various regions.