• Serve as the primary architect and builder of AI-powered solutions within the Kraken Compliance team • Design and deploy AI-powered Compliance solutions • Own governance and risk for Compliance AI systems • Multiply the Compliance team's capability

• Serve as the primary architect and builder of AI-powered solutions within the Kraken Compliance team. • Design and deploy AI-powered Compliance solutions. • Architect and build agentic workflows using n8n, Claude API, Python, and MCP that take real actions in Compliance processes with appropriate human oversight and approval gates. • Design and deliver solutions across priority Compliance use cases: alert pre-screening, case narrative generation, regulatory change summarization, EDD report drafting, and audit-ready documentation. • Build scalable, automated analytics solutions that deliver high-quality, repeatable risk insights for Compliance leadership and regulators. • Apply AI-enabled techniques for text analysis, transaction pattern recognition, and workflow automation to surface actionable signals from high-volume data. • Build error handling, audit trails, regulatory-calendar awareness, and human-in-the-loop checkpoints into every production system before deployment. • Ensure all automations comply with data classification requirements for customer PII, regulated financial data, and cross-jurisdictional privacy obligations including GDPR and applicable AML data retention rules. • Own governance and risk for Compliance AI systems. • Classify all automation builds by risk tier before work begins. • Maintain audit logging and documentation for all systems touching regulated data, SAR workflows, or sanctions-adjacent processes. • Halt or redesign builds that introduce unacceptable regulatory, legal, or data privacy risk. • Serve as the Compliance domain representative in contributing to governance standards, model risk management, and cross-functional build alignment across the Automate Everything initiative. • Multiply the Compliance team's capability. Produce documentation, workflow templates, and runbooks that Compliance professionals can use and maintain without technical support. • Train Compliance team members on AI-assisted tools and workflows deployed in production. Drive adoption, not just delivery. • Track and report on automation impact: alert review time reduced, case throughput increased, regulatory report cycle time shortened, and analyst capacity unlocked for higher-risk work. • Act as a force multiplier for the Compliance team, enabling investigators and analysts to focus on high-judgment, high-risk decisions through process, technology, and AI enablement.

Requisition Number: 2344168 Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: AI/ML Data Architecture Strategy & Leadership: - Partner with business, data science, and technology leaders to define and evolve enterprise AI/ML and data strategies, including data platforms, feature stores, and model lifecycle capabilities - Establish and enforce data architecture principles, standards, and governance frameworks that support trustworthy, compliant, and reusable data for AI/ML use cases - Lead the design of scalable data ecosystems that enable real-time and batch data processing, model training, inference, and monitoring - Drive alignment between data architecture, ML engineering, and platform engineering to ensure seamless integration of AI capabilities into digital products Data Platform & ML Ecosystem Design: - Assess current-state data and analytics environments to identify gaps in data quality, accessibility, lineage, and ML readiness - Design and own target-state architecture for modern data platforms (e.g., lakehouse, data mesh, or hybrid architecture) optimized for AI/ML workloads - Define reference architectures for key capabilities such as feature engineering, model training pipelines, MLOps, data observability, and model governance - Develop end-to-end data and ML platform roadmaps, including ingestion, transformation, storage, feature management, and model deployment layers Execution, Governance & Responsible AI: - Lead data and AI architecture governance to ensure alignment with enterprise standards, privacy, security, and responsible AI principles - Establish data quality, lineage, and observability practices to support reliable model performance and regulatory compliance - Align investments to prioritize reusable data assets, shared ML capabilities, and platform scalability - Communicate the value of AI/ML data platforms and outcomes to senior stakeholders, including executives and business leaders Innovation, Change & Talent Development: - Champion modern data and AI practices, including MLOps, DataOps, and continuous model improvement - Stay current with advancements in AI/ML, data platforms, and cloud-native technologies, applying them to enterprise use cases - Mentor and guide architects, data engineers, and ML engineers in building high-quality, scalable AI solutions - Foster a culture of experimentation, responsible innovation, and data-driven decision-making You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 10+ years of experience Data Architecture, or closely related roles, with a solid focus on building data platforms for advanced analytics and machine learning - 5+ years of experience in AI/ML data Architecture - 5+ years of experience delivering complex, cross-domain data and AI solutions within large, matrixed organizations - Proven experience designing and implementing modern data architectures (e.g., lakehouse, data mesh) in cloud environments (Azure, AWS, or GCP) - Hands-on or leadership experience with ML lifecycle components, including feature engineering, model training pipelines, deployment, and monitoring - Solid understanding of data governance, data quality, lineage, and privacy considerations in AI/ML contexts - Experience influencing senior leaders and translating AI/ML capabilities into business value - Ability to communicate complex technical concepts to non-technical stakeholders Preferred Qualifications: - Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field - Experience with MLOps frameworks and tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI, Databricks) - Familiarity with feature stores, model registries, and experiment tracking systems - Experience with real-time data processing technologies (e.g., Kafka, Spark Streaming, Flink) - Knowledge of responsible AI practices, including model explainability, bias mitigation, and governance frameworks - Experience with healthcare or regulated industry data environments - Prior experience mentoring or leading data, ML, or architecture teams *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $134,600 to $230,800 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Description At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It's why we're coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we're headed. We're proud to share our story and Make Amazing Happen at CDW. Job Summary: The Presales Manager - Hybrid Infrastructure will lead a team of technical presales professionals focused on delivering innovative Hybrid Infrastructure solutions in the Central region. This role will manage day-to-day operations of the presales team, coach team members to perform at a high level, and collaborate closely with Sales, Solutions Architects, and Services teams to drive customer success and revenue growth. This role plays a key role in developing and executing go-to-market initiatives, managing pipeline health, and ensuring the technical presales team is aligned with business priorities. What you will do: * Lead and manage a team of presales engineers supporting Hybrid Infrastructure opportunities. * Conduct regular performance check-ins, provide coaching and mentorship, and support professional development. * Set clear individual and team expectations, drive accountability, and celebrate successes. * Partner with account teams to support sales cycles by providing technical expertise and crafting solution strategies tailored to customer needs. * Review and enhance technical proposals, presentations, and demonstrations to ensure they align with business outcomes. * Participate in high-impact customer engagements and help drive alignment with customer technical stakeholders. * Monitor presales activities and engagement across active opportunities to ensure strong coverage and quality support. * Provide feedback on opportunity qualification and help accelerate deal velocity through strategic resource alignment. * Track KPIs, metrics, and reporting in support of accurate forecasting and pipeline visibility. * Collaborate cross-functionally with Sales, Professional Services, Practice Leaders, and other internal stakeholders to drive presales excellence and deliver seamless customer experiences. * Help implement presales best practices and standard operating procedures. * Contribute to GTM initiatives, including solution packaging, messaging, and enablement. * Identify gaps in tools, processes, or training and proactively recommend solutions. * Stay informed on emerging technologies and industry trends relevant to digital experience, cloud, data, AI, and software engineering. * Support the upskilling of team members to ensure technical capabilities align with evolving market demands. What we expect of you: * Bachelor's degree and 7+ years of experience delivering large-scale, enterprise-class technical solutions. Or, 11+ years of equivalent experience. * 1+ year of experience in a team lead, technical mentorship, or informal management role. * Strong understanding of presales processes, solution development, and customer engagement strategies. * Demonstrated ability to coach and mentor technical professionals. * Excellent verbal and written communication skills, with a strong ability to explain technical concepts to business stakeholders. * Experience collaborating with cross-functional teams, including Sales and Services, to drive outcomes. * Prior experience in a formal people management role is a plus. * Background in hybrid infrastructure, cloud, data, AI, or software engineering is highly desirable. * Experience with opportunity pipeline tools (e.g., Salesforce) and familiarity with forecasting and reporting practices. * Ability to adapt to changing priorities in a fast-paced environment and help teams navigate ambiguity. Pay range: $121,450 - $170,010 depending on experience and skill set Annual bonus target of 25% subject to terms and conditions of plan Benefits overview: https://cdw.benefit-info.com/ Salary ranges may be subject to geographic differentials * CDW is committed to being an AI-fluent organization * As a leader, you will champion and be accountable for our vision of becoming an AI-fluent organization. We expect leaders to model curiosity, encourage responsible AI adoption, and foster a culture of continuous learning. You don't need deep technical expertise, but you should be comfortable exploring how AI can enhance strategy, decision-making, and team performance. Your role includes guiding others in building confidence and capability with AI tools and practices, while promoting openness to experimentation and shared learning. * We make technology work so people can do great things. * CDW is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, CDW helps its customers to navigate an increasingly complex IT market and maximize return on their technology investments. Together, we unite. Together, we win. Together, we thrive. CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law. CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, CDW's goal is to get to know you as an applicant and understand your experience, strengths, skills, and qualifications. While AI can help you present yourself more clearly and effectively, the essence of your application should be authentically yours. To learn more, please review [CDW's AI Applicant Notice](https://www.cdwjobs.com/pages/ai-applicant-notice).