Senior Solutions and Data Architect - Asset Management

Data Architecture

• Shape the modern data architecture, translating front-office investment and operations needs into a clear, phased roadmap.
• Own core investment data models and standards (IBOR, ABOR, PBOR, and other related data sets) with consistent, canonical definitions.
• Define patterns for processing unstructured and semi structured data sets.
• Establish data product standards aligned with enterprise architecture to ensure data is reliable, governed, compliant, and fit for analytics, risk, reporting, operational, and front-office investment workflows.
• Contribute hands-on expertise to data governance, including metadata, lineage, data quality, and regulatory traceability.
• Evaluate and guide adoption of modern data platforms (e.g., Snowflake, Databricks), using proof of concepts and benchmarks to inform design decisions.
• Partner closely with investment data enablement team to design solutions, review implementations, and facilitate delivery.
• Develop data security, access controls, and privacy requirements.
• Establish data observability and reliability practices to monitor pipeline health, quality, and SLAs.

Solution Architecture

• Partner with investment and technology teams to translate business needs into scalable solution designs and roadmaps that support front office, operational, and reporting workflows.
• Design end-to-end architectures and integration patterns across internal and vendor platforms, ensuring reliable data flow, security, and resilience.
• Work hands-on with engineering teams throughout delivery to refine designs, validate patterns, remove architectural blockers, and ensure solutions work as intended in production.
• Define and promote architecture patterns and engineering standards in partnership with corporate IT and enterprise architecture, ensuring consistent adoption across teams.
• Provide architectural leadership for large programs, platform modernization, and vendor/platform evaluations, influencing buy, build, and integration decisions.
• Review and approve solution designs to ensure alignment with enterprise standards, security, and operating needs.
• Lead cloud and legacy modernization efforts, including guidance on multi-region, resilient architectures.
• Contribute code and automation as needed (e.g., services, infrastructure templates, accelerators).
• Support agile delivery by balancing rapid iteration with long-term architectural integrity.

Modern Technology Exploration

• Validate high-value AI use cases across Asset Management using proofs of concept to demonstrate value, feasibility, and governance.
• Define secure, reusable AI architectures and guardrails (e.g., agent patterns, MCP-style integration, access controls, auditability) in partnership with enterprise architecture, security, risk, and engineering teams.
• Continuously assess emerging technologies, including engineering productivity tools, to drive efficiency, accuracy, and faster delivery.

Leadership

• Provide leadership by mentoring, coaching, and developing analysts and engineers through a hands-on, team-based partnership approach.
• Model Thrivent’s leadership competencies – courage, collaboration, and commitment – by demonstrating resiliency, making thoughtful decisions, and holding self and others accountable.
• Support and foster an environment focused on continuous improvement, exceptional employee engagement, and unwavering commitment to clients.
• Shapes a culture aligned to Thrivent’s purpose, promise, and values, ensuring trust and reputation remain strong.
• Model Thrivent’s leadership competencies – Model the Way, Rally the Team, and Deliver Outcomes.
• Embrace and support an environment in which Thrivent employees and colleagues are focused on continuous improvement, exceptional employee engagement, and an unwavering commitment to our clients.
• Support a culture that represents the Thrivent purpose, promise and values, ensuring that Thrivent’s trust and reputation remain strong with its clients.