Top Tech Jobs & Startup Jobs in Seattle, WA

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.

Architects enterprise AI/ML and MLOps platforms, translating business goals into scalable AI initiatives. Leads discovery, platform evaluations, proof-of-concepts, reference architectures, CI/CD automation, model lifecycle management, governance, observability, and responsible AI practices. Partners with data scientists, engineers, and platform teams while supporting client workshops, solution pursuits, and implementation roadmaps. Provides expertise across Snowflake, cloud platforms, machine learning infrastructure, generative AI, LLMOps, and emerging AI technologies.

Leads the integration workstream for an Informatica SaaS MDM implementation. Designs, develops, tests, deploys, monitors, and troubleshoots batch, real-time, API-based, and event-driven integrations. Defines architecture and development standards, manages mappings and reconciliation, collaborates with business and data teams, and ensures governance and security compliance. Provides technical leadership, code reviews, mentoring, work allocation, and quality oversight for offshore developers while supporting Agile planning, deployment, and hypercare.

Configure and implement Informatica IDMC MDM solutions across customer, product, and supplier domains. Responsibilities include data modeling, match and merge logic, survivorship, golden records, hierarchies, data quality, governance, stewardship workflows, user access, testing, deployment, documentation, and production support. The role collaborates with business, governance, integration, and data engineering teams to deliver trusted enterprise master data.

Configure and implement Informatica IDMC MDM solutions for customer, product, and supplier domains. Responsibilities include data modeling, match and merge rules, survivorship, golden records, hierarchies, data quality, stewardship workflows, governance, duplicate management, testing, deployment, documentation, and production support. The role collaborates with business stakeholders, data governance teams, architects, integration teams, and data stewards to deliver trusted, governed enterprise master data.

Owns business analysis and delivery for Adobe Experience Manager initiatives. Responsibilities include gathering requirements, managing and prioritizing backlogs, writing user stories and acceptance criteria, facilitating Scrum ceremonies, coordinating developers, architects, UX, QA, and stakeholders, supporting UAT, tracking risks and releases, and leading business-side content migration activities through validation, cutover, and sign-off.

Leads large, global Adobe experience platform programs from mobilization through support, owning client relationships, delivery, financials, resourcing, governance, risk, quality, compliance, and program health. Coordinates distributed teams and discipline leads around committed dates, incorporates regulatory validation and data-residency requirements, and manages Adobe technologies including AEM Cloud Service and Edge Delivery Services. Coaches delivery talent, supports business development, and applies AI within client compliance constraints.

Lead delivery and technical direction for data solutions: define scope, anchor proofs-of-concept, provide solution architecture, integrate third-party services, manage timelines and budgets, ensure customer satisfaction, mentor teams, support sales and proposals, and run PMO practices across large multi-team engagements.

Designs and delivers Salesforce Data 360 architectures that unify customer data and enable activation across Sales, Service, Experience, and Marketing. Leads discovery workshops, solution design, presales strategy, technical delivery, integrations, and architectural decisions. Advises on cloud data platforms, zero-copy patterns, identity resolution, transformations, and AI enablement. Mentors consultants, reviews technical work, manages risks, supports estimation, evaluates talent, and builds trusted client relationships.

Lead complex, fixed-fee programs across multiple workstreams, teams, and geographies. Own delivery, governance, financial performance, risk management, contractual commitments, executive stakeholder relationships, resource planning, and business outcomes. Drive delivery excellence and AI-enabled practices while partnering with technology and business leaders. Mentor project and delivery managers and develop high-performing teams.