Data Delivery Manager | Data Architect (Banking)

K-Tek Resourcing LLC
St. Louis, MO, United States
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$145,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Microsoft Azure Big Data Cloud Computing Cloud Database Data Architecture Information Engineering Data Governance Extract Transform Load (ETL) Data Transformation Data Warehousing
+20 more
PostgreSQL Machine Learning Meta-Data Management Oracle (Applications) Cloud Services SQL Databases Informatica Powercenter Netezza Snowflake Apache Spark Generative AI Data Strategy Pyspark Data Analytics Data Management Data Lakehouse Cloud Migration Virtual Agents Data Delivery Databricks

Job description

We are seeking a seasoned Data Delivery Manager / Data Architect to lead large-scale Data, Analytics, AI, and Cloud Modernization initiatives within the Banking domain. This is a strategic leadership role requiring a blend of enterprise data architecture, client engagement, delivery management, and account growth experience.

The ideal candidate will possess deep expertise in Informatica, Databricks, Netezza, Cloud Data Platforms, AI/GenAI, Data Governance, and Enterprise Data Architecture, while driving successful delivery of complex transformation programs and building strong executive client relationships., < data-start=”912” data-end=”941”>Data Delivery Leadership

  • Lead end-to-end delivery of enterprise Data & AI programs across onsite and offshore teams.
  • Manage project scope, budget, resource planning, delivery timelines, and quality.
  • Establish governance models, delivery KPIs, and operational excellence frameworks.
  • Ensure compliance with enterprise data governance, security, risk, and regulatory standards.
  • Provide leadership for large-scale cloud modernization and enterprise data transformation initiatives.

< data-start=”1406” data-end=”1445”>Solution Architecture & Innovation

  • Define enterprise data strategy and modernization roadmaps.
  • Architect scalable Data Lakehouse, Data Warehouse, and Cloud Data Platforms.
  • Design enterprise ETL/ELT, Data Modeling, Metadata Management, Lineage, and Data Quality solutions.
  • Drive AI adoption, Agentic AI, Generative AI, and intelligent automation initiatives.
  • Recommend modern data architecture patterns and cloud-native solutions.

< data-start=”1852” data-end=”1891”>Client Engagement & Account Growth

  • Build trusted relationships with executive stakeholders and business leaders.
  • Identify new opportunities in Data Modernization, AI, Analytics, Cloud Migration, and Data Governance.
  • Lead solution presentations, proposal development, SOW creation, and client workshops.
  • Act as a strategic advisor to clients throughout the engagement lifecycle.

< data-start=”2244” data-end=”2280”>Program & Engagement Management

  • Conduct discovery workshops and define transformation roadmaps.
  • Manage project risks, issues, escalations, and stakeholder communications.
  • Align business objectives with technology solutions and enterprise architecture.
  • Mentor technical teams and drive continuous improvement across delivery organizations., * Lead enterprise-scale Data & AI transformation initiatives.
  • Drive strategic client engagements within the Banking industry.
  • Architect next-generation cloud data platforms and AI-powered solutions.
  • Work with cutting-edge technologies including Databricks, Informatica, Snowflake, and Generative AI.
  • Opportunity to influence business growth, innovation, and enterprise modernization.

If you’‘re a senior Data Delivery Leader with strong architecture expertise, client engagement experience, and a passion for driving Data & AI transformation in Banking, we’‘d love to hear from you!

Requirements

  • 15+ years of experience in Data Engineering, Data Management, BI/Analytics, Enterprise Architecture, or Data Delivery.
  • Strong hands-on and architectural expertise with:
  • Informatica PowerCenter, IDMC, IICS
  • Databricks, Spark, PySpark, SQL
  • Netezza, Oracle, PostgreSQL, Snowflake
  • ETL/ELT, Data Warehousing, Data Modeling
  • Azure Cloud Data Platforms
  • Data Governance, Data Quality, Metadata Management, Lineage
  • AI/ML, Generative AI, Agentic AI
  • Experience leading enterprise transformation programs and large delivery portfolios.
  • Strong Banking or Financial Services domain experience.
  • Proven experience managing executive stakeholders and enterprise client engagements.
  • Excellent leadership, communication, consulting, and problem-solving skills., * Experience managing $5M+ enterprise programs.
  • Experience with Cloud Data Modernization initiatives.
  • Knowledge of Risk Management and Regulatory Reporting.
  • Experience with enterprise AI strategy and data-driven transformation.
  • Strong consulting and pre-sales experience including RFPs, proposals, and solution architecture.

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