AVP-Lead Data Architect
At a glance
Senior Data Architecture & Governance role at Fa Ewjt Saasfaprod1. United States · full-time · $130,000–$180,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Lead Data and AI programs across onshore and offshore teams, controlling scope, budgets, staffing, quality and schedules
- Set enterprise data direction and design lakehouse, warehouse and AI platforms, alongside modernization plans
- Advance automation, AI adoption, data quality, metadata, lineage and governance initiatives
- Grow client accounts through opportunities in modernization, AI, analytics, cloud migration and governance
- Advise executive clients, lead proposals and discovery workshops, and manage risks, escalations and expectations
What you bring
- At least fifteen years across data management, BI and analytics, data engineering or enterprise architecture
- Strong architecture and hands-on skills across Informatica, Netezza, Databricks, data platforms and governance
- A bachelor’s or master’s degree in computer science, engineering or a related discipline
- Experience delivering major transformation programs is preferred, as is work in banking or another regulated field
Who this fits
This senior role suits a data leader who can combine architecture and program delivery with executive client work and account growth. St. Louis is a required work location, and the role spans onshore and offshore teams.
From the employer
Role: Data Architect / Data Delivery Manager
Location: St. Louis (Mandatory)
Ideal Candidate: A strategic leader capable of seamlessly combining Account Growth, Client Engagement, Delivery Ownership, and Data Architecture while driving enterprise Data & AI transformation leveraging Informatica, Netezza, Databricks, and modern cloud platforms
Leadership Competencies
- Account Management & Revenue Growth
- Executive Stakeholder Management
- Strategic Consulting & Advisory
- Large Program Delivery
- Solution Architecture
- Mentoring & Team Development
- Commercial & Financial Management
Success Measures
- Revenue and account growth
- Client satisfaction and retention
- On-time, on-budget delivery & data architecture
- Successful modernization and AI adoption outcomes
- Team capability and leadership effectiveness
Key Responsibilities
Data Delivery Leadership
- Own end-to-end delivery of Data & AI programs across onshore and offshore teams.
- Manage scope, budget, resource planning, delivery quality, and timelines.
- Establish governance frameworks, delivery metrics, and operational excellence.
- Ensure compliance with data governance, risk, security, and regulatory requirements.
Solution Architecture & Innovation
- Define enterprise data strategy, architecture, and modernization roadmaps.
- Architect scalable Data Lakehouse, Data Warehouse, and AI platforms.
- Drive automation, AI adoption, data quality, metadata management, lineage, and governance initiatives.
- Champion innovation through Agentic AI, GenAI, and intelligent data operations.
Account Growth & Client Relationship Management
- Identify and develop opportunities in Data Modernization, AI, Analytics, Cloud Migration, and Data Governance.
- Build trusted relationships with executive stakeholders and act as a strategic advisor.
- Lead proposals, solution presentations, SOW creation
Engagement Leadership
- Drive business discovery workshops and transformation roadmaps.
- Manage communications, risks, escalations, and stakeholder expectations.
- Ensure alignment between business objectives and technology solutions.
- 15+ years of experience in Data Management, BI/Analytics, Data Engineering, and Enterprise Architecture.
- Strong hands-on and architectural expertise in:
- Informatica PowerCenter / IDMC / IICS
- Netezza, Oracle, PostgreSQL, Snowflake
- Databricks, Spark, PySpark, SQL
- Data Warehousing, ETL/ELT, Data Modeling
- Cloud Data Platforms (Databricks/Azure)
- Data Governance, Data Quality, Metadata & Lineage
- AI/ML, Generative AI, Agentic AI solutions
- Experience leading large transformation programs ($5M+ portfolios preferred).
Strong background in Banking, Financial Services, Risk, Regulatory Reporting, or similar highly regulated industries.
Bachelors or masters degree in computer science engineering, or a related field.
Base Compensation Range: $130,000-180,000
- The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
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