Data Scientist

• Lead complex initiatives related to business analysis, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and monthly loss forecast for Risk Analytics.
• Collaborate with stakeholders and business partners to identify requirements, drive process and technology improvements, and ensure compliance with Finance and Risk governance frameworks, controls, and documentation requirements
• Support end-to-end implementation activities, including test planning and execution, documentation updates, stakeholder support, issue resolution, and post-implementation operational readiness.
• Review and analyze data to provide results specific to businesses supported.
• Make decisions in complex product strategies and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives.
• Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analytics goals.
• Lead projects, teams, and mentor.

Lead Risk Analytics Consultant – Corporate Credit Risk Oversight, Allowance

• Advise clients on end-to-end solutions across data strategy, data management, and data quality.
• Support business development, methodology development, team leadership, and delivery execution for data governance assessments and implementations.
• Design and develop data governance technology solutions across data quality, data dictionaries, business glossaries, data standards, and data policies.
• Define organizational design, governance processes, policies, roles, responsibilities, success metrics, and operating models for client data programs.
• Build roadmaps covering technology, culture, governance, processes, skills, competencies, data quality, analytics, and data management maturity.
• Lead and collaborate with data governance teams to create business cases, resource plans, implementation roadmaps, and enterprise data system assessments.
• Assess current-state environments, identify client pain points and requirements, and help define a practical vision and strategy for becoming a data-driven organization.
• Advise clients as a trusted partner and provide thought leadership on data governance, data management, cloud transformation, AI readiness, and related best practices.
• Manage resources, budgets, project delivery, team development, training, mentoring, and performance assessment.

Data Strategy and Governance Manager

• Collaborate closely with Data Engineers to implement strategic engineering proof of concepts and contribute to technology strategy and engineering roadmaps
• Collaborate with clients and internal partners throughout the organization to identify and execute upon opportunities for demonstrating marketing data to drive business solutions
• Audit existing datasets for accuracy, reliability and consistency
• Advise senior team members to identify data models and algorithms to apply to unique client problems
• Increase and optimize user experiences, revenue generation, ad targeting and other business outcomes using predictive modeling and other advanced analysis techniques
• Coordinate with internal and client data engineering teams to implement models and supervise outcomes
• Support digital analytics implementations with broad understanding of tag management, HTML and JavaScript on websites
• Develop and test applications (visualization, routing data, cleaning data, access to data, interacting with data) for analytics pipelines
• Other duties as assigned

• Serve as the primary point of contact for At Work-related data and analytics needs
• Partner with CAPTRUST’s centralized data team to prioritize, design, and improve data solutions supporting At Work
• Help establish consistent definitions, metrics, and reporting standards across the At Work practice
• Improve data quality, clarity, and usability over time
• Support and enhance internal and client-facing reporting used by At Work teams
• Work closely with Operations to understand recurring reporting needs and reduce one-off or manual efforts
• Develop dashboards and reports that support operational planning, advisor effectiveness, and leadership decision-making
• Translate reporting outputs into insights that inform action, not just describe activity
• Develop qualitative and quantitative measures of client and participant engagement, trust, and relationship health
• Help establish ongoing feedback loops across the client and participant lifecycle, beyond episodic surveys
• Identify trends that signal strengthening relationships, stagnation, or potential breakdowns
• Support analysis related to the annual financial wellness survey and other experience-related initiatives
• Analyze patterns associated with strong long-term outcomes such as sustained engagement, retention, and expansion of advisory relationships as needs evolve
• Partner with leadership and Operations to identify where additional investment of time or resources may be needed
• Help reduce reliance on anecdotal feedback through clearer, shared insight

Data Scientist jobs in Iowa

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Lead Risk Analytics Consultant – Corporate Credit Risk Oversight, Allowance

Data Strategy and Governance Manager

Data Scientist

Data & Analytics Lead