Senior Business Solution Architect – Automation, AI

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Dayforce

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

👥 HR Tech

☁️ SaaS

🏢 Enterprise

💰 $1G Post-IPO Debt - Dayforce on 2024-03

HR Tech • SaaS • Enterprise

Dayforce is a cloud-based human capital management (HCM) platform from Ceridian that provides payroll, HR, benefits administration, talent management, workforce management (time & attendance, scheduling), and workforce analytics. Offered as a SaaS solution to mid-market and enterprise employers, Dayforce consolidates employee lifecycle functions and payroll in a single application to streamline workforce processes and compliance.

📋 Description

• The Sr Business Solutions Architect for Automation & AI is responsible for designing and validating enterprise-scale automation and AI solutions across Planet business systems and ICE Mortgage Technology products. • This role goes beyond conceptual architecture—requiring active involvement in engineering prototypes, proof-of-concepts, and reference implementations to ensure designs are practical, scalable, and aligned with business objectives. • This role shapes solution strategy, creates decision frameworks, and partners with domain-specific business subject matter experts to socialize designs and gain alignment before transitioning to delivery teams. • Success demands innovation, influence, and adaptability—anticipating technology evolution, driving modernization initiatives, and designing reusable patterns for data products, business analytics, business workflow automation and AI applications. • This position requires a strong understanding of solution development principles to ensure security, compliance, and automation are integrated into every design decision. • Continuous learning and collaboration across business and technical architecture communities are essential to success. • Define end-to-end solution architectures for business domain problems in the mortgage technology industry, including data ingestion, transformation, automation, storage, governance, and consumption across multiple systems. • Establish reusable, scalable, cost-effective patterns that leverage automation opportunities. • Translate business outcomes into designs that meet performance, resiliency, security, and cost objectives. • Develop project proposals and decision architecture review documents with clear options, trade-offs, and recommendations for executive decision-making. • Design solution architectures for AI and automation applications leveraging modernized platforms. • Build proofs-of-concept (POCs) and reference implementations to de-risk designs and validate feasibility. • Validate implemented solutions against approved designs, identify drift, and drive corrective actions. • Ensure designs remain practical and implementable throughout the development lifecycle. • Partner with business subject matter experts and other Solution Architects to socialize designs and ensure alignment with standards and roadmaps. • Communicate complex concepts clearly to technical and non-technical audiences; influence adoption of best practices and reusable patterns. • Provide architectural guidance to engineering leads and delivery teams during implementation, ensuring scope, timeline, and quality remain aligned with the design. • Ensure solutions comply with data governance, privacy, and audit requirements. • Support architecture reviews and control checkpoints. • Integrate DevSecOps principles into solution designs to ensure security and compliance from inception. • Evaluate emerging technologies and the modern AI, automation, and data stack; lead experiments and convert proven approaches into platform enhancements. • Advocate for modernization initiatives and influence platform/architecture roadmaps with data-driven insights. • Supports implementation of DR/BCP strategies to align with regulatory requirements. • Collaborates with InfoSec to operationalize secure configurations and identity governance, specifically to align with NIST, CIS, and industry related security and regulatory requirements.

🎯 Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field, or equivalent professional experience • High school diploma or GED equivalent required • Minimum 10 years of experience within information technology (IT) environments (required) • Minimum 7 years of experience in enterprise solution architecture, data engineering, or cloud platform design • Minimum 3 years of experience designing or implementing automation platforms • Deep experience in mortgage operations (both originations and servicing). • Experience leveraging Generative AI or machine learning solutions in a production environment • Demonstrated experience working in mortgage technology, financial services, or regulated industries • Proven track record of designing scalable, enterprise-grade solutions across multiple stakeholder groups. • Deep expertise in Snowflake, Azure, or comparable cloud data platforms. • Knowledge of ICE Mortgage Technology products or similar mortgage technology ecosystems. • Understanding of modern data architectures including data warehouses, medallion architectures, and workflow automation patterns. • Knowledge of Generative AI architectures, LLM integration patterns, and AI/ML deployment considerations. • Understanding of automation frameworks, workflow orchestration, and robotic process automation (RPA). • Familiarity with AI governance, responsible AI practices, and ethical AI considerations. • Strong understanding of DevSecOps principles and practices. • Knowledge of security best practices in cloud environments, data governance, privacy regulations and audit frameworks. • Familiarity with mortgage industry compliance requirements. • Ability to design reusable, scalable solution patterns and reference architectures. • Experience with technology trade-off analysis and decision frameworks. • Proven ability to translate business requirements into technical solutions. • Strong knowledge of loan servicing platforms and operations, including loan accounting, payment processing systems, and escrow management. • Understanding of servicing workflows, loss mitigation strategies, default management procedures, and regulatory compliance frameworks specific to mortgage servicing. • Familiarity with portfolio analysis, performance reporting, and investor relations in mortgage servicing context. • Experience with APIs, SDKs, and integration platforms. • Strong understanding of ETL/ELT processes, data transformation, and SQL. • Familiarity with version control and CI/CD principles. • Experience with business intelligence, analytics, and automation platforms. • Excellent ability to communicate complex technical concepts to both technical and non-technical audiences. • Strong presentation and documentation skills. • Proven ability to influence and drive consensus among stakeholders. • Excellent listening and partnership skills. • Advanced analytical and critical thinking skills. • Ability to anticipate risks, envision solutions, and drive innovation. • Track record of successfully managing ambiguity and complex, multi-faceted challenges. • Thorough understanding of mortgage industry processes, workflows, and regulatory landscape. • Deep knowledge of mortgage servicing operations, including loan portfolio management, payment processing, escrow management, forbearance programs, default servicing, and borrower communication. • Knowledge of real estate lending operations and borrower experience optimization. • Familiarity with mortgage industry regulatory requirements.

🏖️ Benefits

• Performs other duties as assigned.