• Build configurable workflows with stage progression, role-based tasking, status tracking, and automated notifications aligned to program operations. • Develop and integrate automation and AI-assisted capabilities to improve efficiency and structure unstructured inputs, while preserving appropriate human review. • Implement reporting and dashboard features that provide clear visibility into participation, progress, and outcomes for internal teams and external stakeholders. • Develop data inputs and integrations, including structured forms, document management, and connections to approved external data sources. • Translate business requirements into technical solutions, communicates feasibility and timelines, supports demos and training, and drives continuous improvement through user feedback. • Up to 25% travel may be required.

• Own both architecture and configuration, leading key design decisions while supporting the development of solutions. • Serve as the lead architect and technical lead for PSA and PSA adjacent initiatives. • Partner closely with Delivery and Enterprise Operations leaders to translate strategic business goals into scalable technical solutions. • Lead the end-to-end technical design and architecture of scalable PSA and Professional Services solutions on Salesforce. • Maintain deep expertise in Salesforce and PSA data models, architecture, and security, designing for performance and scale in high-volume scenarios. • Responsible for implementing solutions that support business requirements and drive key decisions that improve processes and productivity.

• Serve as the senior technical leader for large, complex, and strategic Data and Analytics engagements • Lead strategy, roadmap, architecture, design, and planning workshops for enterprise clients • Act as Engagement Lead and/or Technical Architecture Lead on customer-facing projects, when assigned • Own delivery success by managing scope, objectives, requirements, milestones, dependencies, risks, timelines, and stakeholder expectations • Guide cross-functional delivery teams through the successful execution of consulting engagements • Ensure deliverables are high quality, aligned to client business outcomes, and presented effectively to technical and executive stakeholders • Break down complex risks or issues into manageable parts, identify root causes, and drive practical resolution paths • Support enterprise stakeholder management across business, data, analytics, cloud, and technology teams • Apply knowledge of AHEAD’s project lifecycle management practices to support successful delivery from initiation through closure • Lead clients through modern data and analytics transformations, including data strategy and governance, data lifecycle management, platform modernization, data engineering, reporting, analytics, and AI enablement

• Lead the design of the migration strategy and architecture for an API Management platform across multicloud environments. • Initial focus on migrating the API gateway from Azure API Management to Google Cloud Apigee while preserving existing backend services. • Conduct an assessment of the current API and integration architecture. • Map APIs, consumers, backends, policies, products, certificates, credentials and dependencies. • Evaluate the current Azure API Management configuration. • Define the target architecture for Apigee adoption. • Develop the migration and coexistence strategy between the gateways. • Create an equivalence matrix between Azure API Management and Apigee resources and policies. • Identify policies that can be migrated directly, adapted or reimplemented. • Design communication flows between Azure, GCP and, when necessary, AWS environments. • Assess private connectivity between clouds, including routing, DNS, firewalls, load balancers and return paths. • Define the APIs' authentication and authorization model. • Evaluate integrations with Keycloak, OAuth 2.0, OpenID Connect, JWT, JWKS and mTLS. • Define standards for publishing, versioning and API lifecycle management. • Define reusable patterns for security, transformation, quotas, rate limiting and error handling. • Establish observability, monitoring, logging, tracing and request correlation requirements. • Define the automation strategy, CI/CD and Infrastructure as Code. • Select APIs candidate for the MVP. • Define the technical success and acceptance criteria for the MVP. • Provide technical support for implementation, testing and validation of the solution. • Develop the cutover, rollback and wave-based migration strategy. • Support the construction of the roadmap for the platform’s evolution.