Top Tech Jobs & Startup Jobs in Chicago, IL

Leads Perficient’s Adobe digital marketing consulting capability, owning bookings, revenue, pipeline, solution quality, and billability. Advises enterprise clients on Adobe marketing-stack strategy, identity and data architecture, governance, personalization, content production, migrations, agentic capabilities, and consumption economics. Leads executive workshops, major pursuit reviews, reusable architecture development, hiring, staffing, career progression, and team development. The role requires translating recommendations into deliverable implementation plans and setting practice standards across complex consulting engagements.

Leads product strategy, vision, discovery, roadmaps, stakeholder engagement, requirements refinement, workflow modeling, backlog management, and user story development for commerce and order management solutions. Owns product outcomes across delivery streams, analyzes product metrics, manages risks and dependencies, and guides development teams toward successful client delivery. Requires consulting experience, order management expertise, executive communication, Agile/Scrum knowledge, and familiarity with AI tools and platforms.

Design and own end-to-end Databricks Lakehouse and AI/BI solutions across cloud platforms. Provide architecture, presales support, POCs, integration, estimations, mentorship, and technical leadership for multi-team deliveries, including batch and streaming data pipelines and GenAI integrations.

Lead the architecture and implementation of enterprise-scale Azure data and AI platforms, including data lakes, lakehouses, warehouses, integrations, machine learning, and generative AI solutions. Establish governance, security, MLOps, and AI frameworks; guide cloud modernization, migration, performance, and cost optimization. Translate business needs into technical architectures, present recommendations to executives, lead architecture reviews, support client pursuits, and mentor engineering teams.

Lead the architecture, implementation, integration, and optimization of Oracle EPM Planning solutions. Design planning, budgeting, forecasting, modeling, security, metadata, and reporting frameworks; configure Oracle EPM modules; and apply AI-driven forecasting capabilities. Lead requirements workshops, testing, deployment, stakeholder presentations, and pre-sales activities. Mentor consultants and developers while advising finance and executive stakeholders on enterprise planning transformation initiatives.

Architects enterprise digital commerce transformations using Adobe Commerce Cloud, Adobe Commerce Optimizer, App Builder, API Mesh, and AI technologies. Designs composable, headless, agentic, and SaaS-modernized commerce ecosystems; guides migrations from monolithic or PaaS architectures; develops integration patterns for AI search, recommendations, support, inventory, and pricing; and establishes governance for secure, ethical AI adoption. The role also uses AI and LLM tools for system modeling, architecture blueprints, code and API audits, data-flow mapping, and legacy modernization strategies.

Architect Adobe Commerce extensions, serverless infrastructure, AI microservices, agents, and API Mesh integrations. Establish AI-assisted coding, testing, review, security, and coding standards across engineering teams. Optimize Core Web Vitals, edge caching, GraphQL performance, and secure upgrade-safe App Builder implementations. Build proof-of-concepts for AI agents, checkout experiences, and edge functionality. Serve as the technical authority for Adobe Commerce out-of-process extensibility and performance engineering.

Acts as the bridge between business stakeholders and technical teams on Adobe Commerce projects. Leads requirements discovery for B2B and B2C commerce, translates needs into epics, user stories, process maps, specifications, and acceptance criteria, and maps requirements to Adobe Commerce capabilities. Manages and prioritizes backlogs in Jira or Azure DevOps, supports Agile ceremonies, defines UAT scenarios, and advises on AI-driven personalization, search, recommendations, segmentation, and merchandising.

Define and lead ServiceNow architecture and target-state roadmaps, ensure best-practice scalable implementations, design integrations and CMDB/CSDM strategies, provide technical leadership across delivery, support AI-enabled ServiceNow capabilities, and collaborate with stakeholders to ensure platform sustainability and governance.

Provides architectural leadership for MuleSoft and enterprise integration initiatives. Defines API-led connectivity strategies, security frameworks, governance standards, roadmaps, and reusable integration patterns. Designs integrations across Salesforce, ERP, data platforms, warehouses, and cloud applications, including event-driven architectures. Leads architecture reviews, proofs of concept, technical discovery, Agile solution design, and delivery support. Oversees observability, monitoring, CI/CD, and operational excellence while mentoring technical teams and managing stakeholder dependencies, risks, and integration challenges.