Data Solutions Architect leading business intelligence solutions and analytics at Crowe. Overseeing data pipelines and analytics frameworks to drive decision-making and compliance.
Responsibilities
Serve as subject matter expert on Business Intelligence engineering platforms (Ex - Microsoft SQL Server, Azure Data platform, Snowflake, DBT) demonstrating platform capabilities and promoting application of toolset to address business needs and maximize the value realized from technology investment.
Oversee the design and deployment of data pipelines, analytics platforms, and reporting frameworks that improve transparency and support decision-making.
Utilize advanced analytics, machine learning, and statistical modeling techniques to detect anomalous activity and patterns in transaction data.
Ensure data quality and integrity through best practices in data management and governance.
Mentor and lead a team of data analysts and consultants, fostering a collaborative and innovative work environment.
Provide technical guidance and career development opportunities to junior team members, ensuring high levels of performance and professional growth.
Facilitate cross-functional collaboration among teams to integrate data-driven insights into broader business strategies.
Keep abreast of evolving regulations and industry standards related to BSA/AML and financial crime prevention.
Develop and implement frameworks that align with regulatory changes and help clients stay ahead of compliance requirements.
Work with legal and compliance teams to translate regulatory requirements into actionable data analytics strategies.
Contribute to proposals and presentations for potential clients, demonstrating expertise in data analytics and regulatory compliance.
Represent the organization at industry events and conferences as a subject matter expert in data consulting for Bank Secrecy Act (BSA) and Anti-Money Laundering (AML).
Drive internal innovation by identifying emerging technologies and methodologies that can improve service delivery.
Participate in presales engagements to manage the vision and expectations of a client’s multiple stakeholders and create a conceptual solution design involving effort estimation, technical and functional solution, execution methodology, project plan, and team.
Participate in the systems development process, including planning and monitoring systems development efforts, coordinating activities with other groups, reviewing deliverables and communicating status to the project manager and client.
Lead and provide technical guidance and mentorship to other team members.
Architect, implement, deploy, and support analytical databases and pipelines in an Azure environment.
Create proofs of concepts as necessary for architectural vision, strategy, and tool evaluation.
Document, diagram, and present complex/technical material that can be understood by a non-technical audience.
Create and deploy accurate client architecture and analyses in a relatively short period of time.
Requirements
Bachelor’s degree in Computer Science, Data Science, Information Systems, Finance, or a related field is required
Advanced degree (Master’s/Ph.D.) is preferred
Experience working in or consulting for financial services
In-depth understanding of Bank Secrecy Act (BSA), Financial Audits, or Anti-Money Laundering (AML) regulations and compliance requirements
At least 7–10 years of progressive experience in data analytics, consulting, or financial services; a strong background in banking and regulatory compliance implementations is desired
Proven track record in managing complex data projects and leading cross-functional teams
8+ years of hands-on experience in enterprise data warehouse and data lake implementations
5+ years of external client consulting experience
5+ years of hands-on experience building automated ETL/ELT or data integration processes utilizing multiple source systems
5+ years of team management experience (including offshore resources)
5+ years of experience leading multiple external client projects simultaneously
5+ years of preparing detailed external client project budget estimations with strong resource management capabilities
3+ years of in-depth experience in architecting, designing, and implementing complex data architectures on Azure including Azure Data Factory, Azure/Managed Instance SQL Server, Azure Logic App, and Azure Synapse Analytics
Experience mentoring teammates or conducting technical training
Possess integrity and a strong work ethic
Strong analytical and verbal/written communication skills
Certifications in BI (ETL tools, visualization tools, cloud architectures) are expected
Certifications such as CAMS (Certified Anti-Money Laundering Specialist), CFE (Certified Fraud Examiner).
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