Senior Manager, Data Architecture – Products & Platforms

Baker Tilly US

. Own the btOS reference architecture, canonical client data model, integration patterns and engine-swapping standards .

Posted 11/9/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting data platforms, including cloud data warehouses and ETL/ELT processes, while effectively translating business requirements into actionable data models and workflows. Strong client-facing communication skills and the ability to manage multiple workstreams are essential for driving adoption and delivering measurable business outcomes.

Highest-signal resume keywords

Data ArchitectureCloud Data WarehousingETL/ELT ProcessesData GovernanceClient-Facing Communication

ATS Keywords

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Hard Skills

SQLData ModelingData PipelinesAnalytics SolutionsData IntegrationAudit-Ready ControlsReconciliationException ReportingWorkflow ToolsData Quality

Soft Skills

Strong Business AcumenInfluencing SkillsRelationship ManagementAdaptabilityPresentation Skills

Tools & Technologies

SnowflakeKNIMEPower BIPower AutomatePower QueryAlteryxAI-Enabled WorkflowsDocument IntelligenceAutomation PlatformsGenerative AI

Certifications & Qualifications

Bachelor's DegreeAdvanced Degree in Data Science or Related Field

Industry Keywords

Managed ServicesFinancial ServicesProfessional ServicesBusiness Process OperationsCorporate Performance ManagementFinancial Planning ToolsData Governance FrameworksRegulated SettingsPrivate EquityReal Estate

Tech Stack

Tools & technologies

CloudERPETLSnowflakeSQL

About the role

Key responsibilities & impact

Own the btOS reference architecture, canonical client data model, integration patterns and engine-swapping standards
Design data flows from client source systems into Snowflake, KNIME and Microsoft Power and out to Solver, Basis, Agent Studio, Phinite and btIQ
Define data governance, quality, lineage and access standards aligned with firm requirements
Maintain the btOS technology inventory, future-state map and platform dependencies
Translate business-line and client requirements into architectures, data models, workflows and expected outcomes
Lead prioritized solution builds through design, development, testing and release
Direct engineers, contractors and partner resources
Build reusable connectors, data pipelines, reconciliation and control workflows, and reporting models
Provide hands-on technical leadership on data pipelines, automation and analytics
Run technical evaluations for Build/Buy/Borrow decisions and prepare business cases
Manage platform requests through enterprise intake, architecture, governance, risk, legal, procurement and finance reviews
Coordinate with data, automation, document-intelligence and AI partners and assess vendors
Support platform renewals and lifecycle management
Join client discovery sessions, workshops, pursuits and deal reviews
Design client-facing solutions covering data onboarding, integrations, dashboards, insight products and operating effort
Support solution narratives, demonstrations, executive presentations and pricing inputs
Move solutions from proof of concept through enablement into sustained use
Work with leaders on adoption, training and workflow integration
Define and track adoption, productivity, quality, client-outcome and financial measures
Identify adoption barriers and coordinate remediation
Serve as technical connector across Managed Services, TDIO, Enterprise Architecture, Data Governance, Innovation and AI solutioning teams
Escalate decisions, risks and dependencies to senior leadership and the Tech Committee
Build human review, controls and escalation into AI-enabled and automated workflows
Work with Risk, Legal and Security to maintain firm standards

Requirements

What you’ll need

8 years in consulting, professional services, managed services, financial services or technology
At least 4 years designing and delivering data or analytics solutions
Hands-on experience architecting data platforms, including cloud data warehouses, ETL/ELT and workflow tools, SQL, and Microsoft Power stack
Experience with Snowflake preferred
Experience with KNIME, Alteryx or equivalent workflow tools
Experience with Power BI, Power Automate and Power Query
Experience integrating ERP, general ledger, property or fund accounting, payroll/HRIS, CRM or ticketing platforms into a shared data layer
Track record moving solutions from concept through development, deployment and sustained adoption
Experience with audit-ready controls, reconciliation and exception reporting
Experience directing engineers, contractors or partner resources without direct line authority
Strong business acumen and ability to connect architecture decisions to business outcomes, costs and measurable value
Strong client-facing communication and presentation skills
Ability to manage multiple workstreams with changing priorities and incomplete information
Strong influencing and relationship skills across senior business and technology stakeholders
Bachelor's degree required
Advanced degree in data science, analytics, computer science or a related field preferred
Preferred: working knowledge of generative AI, large language models, RAG, APIs, AI agents and agentic workflows
Preferred: intelligent document processing, automation or workflow platforms in finance, accounting, HR or payroll
Preferred: finance and accounting, family office, real estate, private equity or fund administration processes and related systems
Preferred: managed services, shared services, business process operations or recurring-delivery environments
Preferred: enterprise technology vendor and alliance relationships
Preferred: corporate performance management and financial planning tools and BI platforms
Preferred: data governance, lineage and security frameworks in professional-services or regulated settings

Benefits

Comp & perks

Equal opportunity/affirmative action employment practices
Opportunity to work on client-facing data, AI, analytics and managed-services solutions
Professional growth through senior-level architecture, client pursuits and cross-functional initiatives