Jobs at Metyis

Lead eCommerce and AI initiatives to improve customer journeys and frontend experiences. Translate business needs into technical solutions, drive chatbot and conversational commerce projects, evaluate AI opportunities, collaborate with architects and product teams, and manage small-to-medium IT projects from concept to rollout.

Manage and optimize multi-channel paid marketing campaigns (search, social, programmatic, display). Set up planning and buying, optimize Google Ads and Microsoft Advertising, build marketing automation and analytics, define paid social targets, mentor team members, manage budgets, and act as SME on impact projects to drive scalable, data-driven growth.

Drive and optimize multi-channel paid marketing campaigns (search, social, programmatic, display, affiliates, video). Set up in-house planning and buying, manage budgets, build marketing automation and advanced analytics capabilities, collaborate with analytics teams, mentor peers, and act as SME on market expansion and sales communications.

Support strategy development and execution by performing data analysis, research, and stakeholder interviews. Interact with clients in meetings and workshops, contribute to client deliverables, and participate in learning sessions to build consulting skills.

Lead and manage one or more consulting workstreams: identify and evaluate project ideas, prepare executive-level communications and workshops, manage client relationships, drive project delivery, mentor junior staff, and travel as required. Use analytical methods, market research, and commercial insight to deliver client outcomes.

Lead and own client deliverables and presentations, conduct and supervise primary and secondary research, perform advanced data analyses, develop hypotheses and business cases, support strategy development and implementation, run workshops, and manage client relationships and engagement quality.

Lead client engagements, translate business problems into analytics and ML solutions, provide project oversight, develop presentations, identify new opportunities, and mentor junior team members while orchestrating the team.

Serve as the interface between business strategy and technology to evaluate AI/ML and eCommerce solutions, build business cases, support project delivery, run client workshops, develop project artifacts, and collaborate with solution architects to shape IT strategy.

The Senior DevOps Engineer will design and maintain integration solutions in a multi-cloud environment, focusing on automation and system performance, while collaborating with developers and architects.

Translate business problems into analytical solutions across the ML lifecycle: data wrangling, model development, deployment and monitoring. Build and productionize models (churn, CLV, segmentation, personalization) using MLOps tools and cloud platforms, apply statistical testing, create visual narratives for stakeholders, and collaborate with cross-functional teams in an agile environment.

Serve as strategic right hand to senior leaders on a major client partnership: establish and run a PMO, translate strategy into execution roadmaps, prepare executive materials, manage stakeholders, run leadership forums, and drive continuous improvement and confidentiality in partnership delivery.

Design and lead AI-assisted automation and acceleration solutions for large-scale SAP migration and data modernization. Define AI architecture, agents, RAG and workflow patterns; guide engineering teams across backend, data, AI, DevOps, and SAP integration to deliver production-ready, secure, auditable AI-enabled tools that automate analysis, code interpretation, testing, documentation, and migration activities.

Lead SAP-to-modern-data-platform migration architecture, define migration strategy and waves, assess SAP landscapes (BW, HANA, ABAP), guide technical teams, integrate AI-assisted migration tooling, ensure data quality, lineage, governance, and reconciliations, and coordinate stakeholders across Data Engineering, BI, AI, and business teams to deliver scalable, auditable migrations.

Lead SAP BW/ABAP migration and modernization efforts: analyze and re-engineer BW objects and ABAP programs, design cloud-ready data processing, define migration strategies, validate data, support AI-assisted migration, and provide technical leadership and post-go-live support.

Lead migration and modernization of SAP BW/HANA/ABAP to cloud platforms. Analyze BW objects and ABAP code, design scalable data processing and delta-load strategies, integrate via IDocs/RFCs/BAPIs/CDS/OData/APIs, validate migrations, support testing/cutover, troubleshoot performance and data quality, and collaborate with SAP, data engineering, BI, AI, and cloud teams.

Lead analysis, migration and modernization of SAP BW/HANA and ABAP data flows. Design scalable cloud-ready data processing, define migration strategies, validate source-to-target mappings, support AI-assisted migration, manage integration technologies, lead technical reviews, testing, cutover and post-go-live support, and drive data governance and metadata management.

Lead analysis, migration, and modernization of SAP BW/BW4HANA, SAP HANA, and ABAP solutions to cloud platforms. Design scalable, cloud-ready ETL and integration solutions, develop migration specs and mappings, support testing and cutover, troubleshoot data and performance issues, and collaborate with SAP, Data Engineering, BI, AI, and Cloud teams.

Lead development and implementation of data governance frameworks across SHV group; consult subsidiaries, run maturity assessments and gap analyses, define policies and standards, oversee data quality audits, ensure data privacy/regulatory compliance, facilitate governance councils, and deliver training and stakeholder engagement.

Lead Cloud/DevOps engineering for an AI-assisted SAP migration and modern data platform. Design secure hybrid cloud/on‑prem integration patterns, define DevOps roadmaps, implement CI/CD and IaC, enable observability and security controls, coordinate across SAP, AI, Data, BI and security teams, and coach delivery teams through migration, deployment, and production readiness.

Design, develop, and deploy generative AI models for business use cases. Collaborate with business and technical teams to identify AI opportunities, conduct research on generative AI advancements, and integrate innovations into production solutions.