Top Tech Jobs & Startup Jobs in Seattle, WA

Leads teams designing and deploying AI-driven enterprise and cloud security solutions. Responsibilities include developing machine learning systems, integrating data infrastructure and pipelines, performing advanced modeling and analysis, and building AI applications with Python, Java, and C++. The role involves client engagement, strategic problem-solving, stakeholder validation, coaching, process innovation, and operational excellence while addressing complex cybersecurity and privacy challenges.

Leads IT audit and SOX/internal controls engagements across industries, including planning, budgeting, execution, compliance assessment, risk mitigation, and reporting. Manages client accounts and teams, supports internal audit transformation and co-sourcing models, applies AI and data analysis to improve audit processes, and coaches junior staff. The role also requires stakeholder management, conflict resolution, strategic planning, and adherence to professional, technical, independence, and conduct standards.

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.

Develop and optimize AI and machine learning algorithms, models, and scalable Python systems. Transform raw data into actionable insights, apply machine learning libraries and NLP techniques, improve data quality, and deliver automation solutions for clients. The role also involves complex data analysis, stakeholder collaboration, client relationship management, and navigating ambiguous business challenges.

Leads strategy consulting initiatives for pharmaceutical and life sciences clients, focusing on customer experience, journey mapping, segmentation, customer data management, and engagement strategies. Manages client accounts, project planning, budgets, execution, stakeholder relationships, quality, and timelines. Coaches and mentors consulting teams while identifying opportunities for business growth and driving data-informed customer-centric improvements.

Lead and manage large-scale Oracle Cloud/Fusion implementation programs: define scope, develop project plans, allocate resources, monitor progress, mitigate risks, engage stakeholders, oversee program/portfolio management, and coach teams to deliver Oracle ERP solutions and drive continuous process improvement.

Conduct internal audits assessing business process controls, SOX compliance, financial statements, governance, and regulatory adherence. Use auditing methodologies, AI platforms, and data analysis to identify risks and recommend control improvements. Collaborate with clients, manage stakeholders, lead audit engagements, resolve issues, and mentor junior team members while applying GAAP and GAAS standards.

Provides strategy consulting for pharma and life sciences clients, focusing on customer analytics and experience. Responsibilities include analyzing client needs, designing customer journey maps, managing segmentation and satisfaction surveys, interpreting customer data, developing value propositions, identifying improvement opportunities, and guiding teams in implementing customer experience strategies. The role also involves client relationship development, business process improvement, trend analysis, and delivering strategic recommendations that improve customer satisfaction, engagement, loyalty, and business growth.

Leads cybersecurity strategy and transformation engagements for clients, including regulatory compliance, internal controls, risk mitigation, and cybersecurity framework translation. Oversees multiple projects, develops innovative solutions, drives business development, maintains executive client relationships, and mentors cybersecurity and compliance leaders. The role also promotes technological advancement, thought leadership, continuous improvement, and adherence to professional, technical, conduct, and independence standards.

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.