Snowflake Finance Data & AI Architect Manager
Deloitte
Position Summary In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.Recruiting for this role ends on 09/30/2026Work you'll doAs a Finance Data & AI Manager specializing in Microsoft Azure and Fabric, you’ll lead teams that design end-to-end solutions from source integration and OneLake through trusted data products, AI, and Power BI. You will guide architecture from strategy through production.• Lead engagements or workstreams that define end-to-end Azure and Fabric architectures across integration, OneLake, lakehouse/warehouse, security, AI, and finance consumption• Guide batch, streaming, mirroring, and orchestration design with Fabric Data Factory, Data Engineering, Spark, Data Warehouse, and Real-Time Intelligence• Establish governance, lineage, Entra-based access, data quality, observability, service-level objectives, and remediation with Microsoft Purview• Define reusable finance data products, canonical models, OneLake sharing, APIs, and governed semantic models for planning, close, profitability, treasury, and reporting• Architect production ML and generative and agentic AI with Fabric Data Science and Azure AI services, MLOps and LLMOps, evaluation, monitoring, and responsible AI• Manage client relationships, estimates, design reviews, deployment, capacity and cost outcomes; mentor teams and support demonstrations, proposals, and RFP responses• Agentic Redesign of Finance data and processes such as planning, forecasting, close, profitability, treasury, or reportingA successful candidate would possess these skills:? Ability to work independently and collaborate as part of a team? Ability to translate finance outcomes into clear architecture decisions? Effective written, verbal, and executive communication skills? Meticulous attention to detail and quality of work product? Ability to build and sustain professional relationships? Ability to lead projects or workstreams? Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment? Ability to meet deadlines? Ability to mentor and provide clear guidance to othersThe teamDeloitte’s Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.Within the Finance Transformation offering, our Business Finance team drives strategic value through planning, forecasting, and analytics. We design trusted finance data products, modern platforms, and AI-enabled solutions that deliver timely, actionable insights.QualificationsRequired:• 6+ years of experience architecting enterprise data, analytics, or AI solutions in a corporate or consulting environment• 4+ years of experience designing Azure or Fabric solutions across data engineering, lakehouse/warehouse, security, performance, and multi-environment deployment• 4+ years of experience with finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting• Bachelor’s degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or a related field• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.• Limited immigration sponsorship may be available.Preferred:• Experience with OneLake, Lakehouse, Data Warehouse, Data Factory, Data Engineering, Real-Time Intelligence, Direct Lake, Power BI, and Purview• Experience with data quality, observability, lineage, testing, CI/CD, infrastructure as code, and capacity/cost optimization• Experience deploying ML, retrieval-augmented generation, or agentic AI with Azure AI or Fabric Data Science and responsible AI controls• Experience integrating SAP, Oracle, Workday, Anaplan, or OneStream and building governed Power BI semantic models, DAX measures, and reports• Microsoft certification in Azure architecture, Fabric, or Power BI; or a master’s degree in a related field• 2+ years of experience supporting pre-sales, proposals, RFP responses, and mentoring data and AI delivery teams Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at View email address on click.appcast.io. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 366899 Job ID 366899 Strategy, Growth, and Transformation | Enterprise Strategy and GrowthSame job available in 44 locations
$168.5k - $206k
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...Position: Data Architect Duration: 12 months to start,... ...models across student, finance, HR, and advancement domains... ...such as accelerating AI readiness or improving... ...lineage, and data management to ensure accuracy and... ...physical data models (star/snowflake schemas). · Prior...SuggestedTemporary workLocal areaRemote workShift work- ...technical expertise in building and optimizing Lakehouse-based data and AI solutions. In this role, you’ll design, develop, and... ...TensorFlow, PyTorch, Scikit-learn) MLOps tools (MLflow, Kubeflow, SageMaker, etc.) Data platforms (Spark, Databricks, Snowflake)...
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...SalesforceSalesforce is the #1 AI CRM, where humans with... ...Salesforce.About the TeamWe are a Data & AI Architects team focused on helping... ...patterns, AI readiness, identity management, governance, integration,... ...Modern data platforms such as Snowflake, Databricks, BigQuery, or...Full timeWork experience placementImmediate startRemote work- ...challenge the status quo” and transform the finance industry together.We believe in the... ...-on technical lead responsible for taking AI/ML projects from development to production... ...Logging)Expert Python for production-grade data and backend engineeringStrong SQL and data...Full timeWork at office
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- ...challenge the status quo and transform the finance industry together. We believe in the... ...strategy, product ownership, technical program management, or content enablement within a marketing... ..., or a related field Experience applying AI technologies and tools to support...Full timeWork at office
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...and everyone is a stakeholder.What you’ll be responsible for:As Manager, GRM AI Transformation, you will help lead the reinvention of how... ...development tools.Experience partnering with central or shared AI, data, or platform teams and contributing to reusable, enterprise-...Flexible hoursShift work- ...Visit us at Are:A seasoned SAP data migration leader who thinks in... ...data quality issue.The Work:Architect end-to-end SAP data migration... ...minimum of 5 years of experience managing cross-functional delivery... ...leadership in cloud, data and AI with unmatched industry experience...Full timeWork experience placementLive inWork at officeLocal area
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$133.3k - $181.7k
...network of smart and supportive people, willing to listen to your ideas. We are seeking a client-focused Data Analytics, AI & Microsoft Fabric Pre-Sales Architect to join our Artificial Intelligence Solutions practice. This role blends deep expertise in modern data platforms...Full timeContract workLocal areaFlexible hours
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