• Build strong relationships with partner pre-sales, delivery, and technical teams • Enable partners to confidently position, demo, and implement Front • Deliver partner trainings, workshops, and technical certifications • Act as the primary technical point of contact for channel partners • Partner with Channel Account Managers and Account Executives on partner-led and co-sell opportunities • Support partners in engaging prospects and customers to maximize value and close new business • Join partner-led calls to provide technical validation and solution design • Work with partners and customers to understand and validate technical requirements • Customize and deliver partner-enabled product demonstrations tailored to specific use cases • Guide partners in building compelling technical narratives and ROI articulation • Develop deep expertise in Front’s APIs and integration ecosystem • Help partners design scalable solutions integrating Front with third-party systems • Provide architectural guidance and best practices

• 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.