Jobs at Fusion Consulting

Provides SAP SD and MM consulting expertise focused on intercompany sales, purchasing, pricing, billing, order processing, shipping, and implementation. Responsibilities include gathering requirements, configuring SAP modules, integrating with WM and FI, supporting rollouts, resolving issues, and driving process improvements. The consultant works directly with clients and cross-functional teams in a project delivery environment.

Configure and optimize SAP SD and MM solutions, with emphasis on intercompany sales, purchasing, pricing, order processing, billing, shipping, and integrations with SAP WM and FI. The consultant gathers requirements, translates them into SAP solutions, supports implementations, rollouts, and ongoing projects, resolves system issues, and collaborates with clients and cross-functional teams to ensure successful project delivery.

Configure and support SAP SD and MM solutions focused on intercompany purchasing, sales, billing, pricing, order management, shipping, and process integration. The consultant gathers requirements, translates them into SAP solutions, resolves system issues, supports implementations and rollouts, and collaborates with clients and cross-functional teams. Experience with SAP S/4HANA and consulting project delivery is required.

SAP FICO Consultant responsible for functional testing, test planning, defect management, status reporting, stakeholder coordination, and regional rollout activities for global SAP S/4HANA deployments. The role supports business-process design, translates requirements into testing specifications, coordinates cross-functional and external-partner testing, and ensures implementation aligns with global standards and project timelines.

Configure and optimize SAP SD and MM solutions, specializing in intercompany sales, purchasing, pricing, billing, order management, and shipping. Gather business requirements, integrate SAP modules, resolve system issues, and support implementation, rollout, and support projects. The role requires client collaboration, project delivery experience, and strong SAP S/4HANA expertise in a consulting environment.

Own product strategy and commercialization after MVP validation. Define roadmaps, positioning, pricing, business cases, and go-to-market plans; support sales and launches; lead customer discovery and co-development; drive adoption, value realization, and reference customers; and influence portfolio, partnership, and investment decisions across digital products for life sciences customers.

Support the PLM workstream of a global SAP S/4HANA transformation by designing target-state PLM, ERP, and master data integration. Analyze product, material, and BOM data flows; define system-of-record principles; align lifecycle, version control, and engineering change processes; resolve cross-stream risks; and contribute to design documentation and management approvals.

Lead PLM workstream design and implementation within a global SAP S/4HANA transformation. Define PLM integration with ERP and master data architecture, analyze product and BOM data flows, establish system-of-record principles, align lifecycle and engineering change processes, resolve cross-stream dependencies, and support template build, rollout, documentation, and stakeholder sign-off.

Design, configure, and support SAP MDG solutions for material and product master data. Lead requirements gathering, process and workflow modeling, data governance, migration, testing, defect resolution, stakeholder validation, training, and post-go-live support. Collaborate across business and technical teams on global SAP transformation projects, ensuring compliant, standardized master data and successful project delivery.

Lead end-to-end talent acquisition for technical consulting roles supporting digital transformation projects in life sciences. Responsibilities include sourcing and screening candidates, matching consultants to project needs, coordinating interviews and offers, maintaining ATS records, supporting RFI/RFP responses, tracking recruitment metrics, and collaborating with delivery and business development teams across global operations.

Lead end-to-end recruitment for technical consulting roles, source and screen candidates, match consultants to project needs, and coordinate interviews, offers, contracts, and onboarding. Partner with delivery and business development teams to support staffing pipelines and RFI/RFP responses. Maintain ATS and resource records, track recruitment metrics, and represent the company at networking and talent engagement events.

Own product strategy and commercialization after MVP validation. Define product vision, roadmaps, positioning, pricing, and go-to-market plans; support sales and launches; drive customer adoption and value realization; facilitate innovation workshops and co-development partnerships; and shape portfolio, ecosystem, and investment decisions. The role combines product management, consulting, customer engagement, innovation, and commercial strategy within the life sciences technology sector.

Own product strategy and commercialization after MVP validation. Define product vision, roadmaps, positioning, pricing, business cases, and go-to-market plans. Engage customers through innovation workshops and co-development partnerships, support strategic implementations, drive adoption and value realization, and shape portfolio and investment decisions. The role combines product management, consulting, innovation, customer engagement, and commercial growth within life sciences digital products.

Own product strategy and commercialization after MVP validation. Define product vision, positioning, pricing, roadmaps, business cases, and go-to-market plans. Engage customers through innovation workshops and co-development partnerships, support strategic implementations, drive adoption and value realization, and influence portfolio and investment decisions. The role combines product management, consulting, innovation, customer engagement, and commercial growth within life sciences digital products.

Designs, configures, develops, integrates, and deploys SAP MDG solutions for Business Partner, Customer, and Supplier master data. Responsibilities include workflows, BRF+ rules, validations, UI configuration, replication, CVI integration, data migration, troubleshooting, testing, cutover, and go-live support across SAP ECC, S/4HANA, and connected systems.

Designs, develops, configures, integrates, migrates, and deploys SAP Master Data Governance solutions for Finance master data. Responsibilities include data models, workflows, BRF+ rules, validations, UI configuration, replication, SAP ECC and S/4HANA integration, migration, troubleshooting, testing, UAT, deployment, and go-live support. The consultant collaborates with Finance stakeholders, architects, functional teams, and developers while ensuring alignment with SAP Clean Core and enterprise architecture standards.

Designs enterprise ontologies, taxonomies, and knowledge graphs using formal semantic representations such as OWL, RDF, and SKOS. Collaborates with subject matter experts to translate business logic into machine-readable structures, establishes semantic governance standards, and supports AI agents, conversational analytics, and cross-domain reasoning. The role also requires graph database experience, SPARQL querying, stakeholder management, and knowledge of regulatory and data governance practices.

Designs and builds enterprise ontologies, taxonomies, and knowledge graphs using semantic web standards and graph platforms. Translates business definitions and domain logic into machine-readable structures, maintains semantic boundaries, supports governance, and enables AI agents, conversational analytics, and cross-domain reasoning. Collaborates with subject matter experts, data modelers, semantic engineers, and stakeholders to create scalable, reusable knowledge assets.

Design and build enterprise ontologies, taxonomies, and knowledge graphs using RDF, OWL, SKOS, graph databases, and SPARQL. Translate business definitions and domain logic into machine-readable representations while maintaining semantic boundaries, governance standards, consistency, and scalability. Collaborate with subject matter experts, data modelers, and semantic engineers to support AI agents, conversational analytics, and cross-domain reasoning.

Designs and builds enterprise ontologies, taxonomies, and knowledge graphs using formal semantic representations. Translates business definitions and domain logic into machine-readable structures, maintains semantic boundaries, establishes governance standards, and supports AI agents, conversational analytics, and cross-domain reasoning. Collaborates with subject matter experts, data modelers, and semantic engineers while ensuring scalability, reuse, and regulatory alignment.