Top Tech Jobs & Startup Jobs in Seattle, WA

Leads the design and development of AI-driven enterprise and cloud security solutions. Manages teams delivering data, analytics, and machine learning engineering projects; oversees AI model implementation, data infrastructure, pipelines, and platform deployments. Uses Python and C++ for algorithm development, analyzes data, improves data quality, ensures technical compliance, mentors staff, manages client expectations, and drives innovation across cybersecurity and privacy initiatives.

Analyze complex client problems using statistical modeling, exploratory analysis, data visualization, and machine learning. Develop AI and GenAI solutions, data workflows, pipelines, models, and quality checks that generate actionable business insights. Communate recommendations through documentation and visual storytelling, manage workstreams, collaborate with clients, and mentor junior team members.

Manage privileged access administration and PAM tools across client environments. Configure identity platforms, review entitlements and segregation-of-duties risks, analyze access logs, document controls, and implement RBAC and identity federation solutions. Support testing, troubleshooting, remediation, and access governance initiatives while interpreting client requirements, resolving complex security challenges, guiding junior team members, and maintaining client relationships.

Oversee large-scale SAP implementation programs across multiple workstreams and client engagements. Set strategic direction, manage scope, budgets, resources, risks, governance, and delivery plans. Lead cross-functional teams, executive client relationships, business development, and SAP ERP transformation initiatives. Apply Agile methods, Microsoft Project, and JIRA for tracking and reporting. Mentor program leaders, drive process improvement, and ensure benefits realization and successful technology adoption.

Leads client-facing identity and access management initiatives, designing access controls, identity governance, privileged access, and lifecycle strategies across cloud and enterprise environments. Advises clients on federation and IAM architecture, validates security controls and documentation for audit readiness, manages complex delivery teams, and coaches professionals while aligning secure solutions with business needs.

Leads SAP consulting projects that improve client operational efficiency through business analysis, software implementation, enterprise integration, training, and support. Manages project architecture, budgets, timelines, quality, and client relationships while mentoring teams and resolving stakeholder issues. Promotes emerging technologies, digital tooling, and AI-human collaboration to deliver strategic technology solutions and maintain professional standards.

Leads transfer pricing engagements for multinational clients, advising on intercompany pricing, documentation, benchmarking, compliance, and cross-border tax matters. Manages project timelines, budgets, deliverables, and client relationships while reviewing technical work, guiding economic analyses, coaching junior staff, and identifying planning and technology opportunities.

Leads SAP BASIS consulting projects, analyzes client needs, implements SAP solutions, manages project budgets and execution, supports SAP users, and mentors consulting teams. The role oversees client relationships, data integrity, compliance, process optimization, enterprise integration, training, and adoption of innovative SAP technologies to improve operational efficiency and business performance.

Supports clients with transfer pricing analyses, tax compliance, economic analyses, financial modeling, benchmarking, and technical documentation. Interprets financial data, tax regulations, business context, and legal entity structures to develop pricing recommendations. Coordinates multijurisdictional projects, tracks evolving tax guidance, prepares client deliverables, builds client relationships, and mentors junior team members.

Leads teams in designing and deploying scalable AI and machine learning solutions for consulting clients. Responsibilities include data wrangling, complex analysis, data modeling, AI system implementation, data pipeline and infrastructure oversight, deep learning, neural networks, data quality validation, and stakeholder collaboration. The manager coaches team members, manages performance, supports innovation, and applies Python, Java, and cloud technologies to build production-ready AI applications.