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Offshore Data Analytics Jobs in Missouri (NOW HIRING)

Deloitte

Project - Data Engineer II

Kansas City, MO · On-site

$111K - $134K/yr

... offshore). Your focus will be on delivering reliable, performant, and cost-effective data pipelines and curated datasets to enable analytics and downstream applications. * Design, build, and support ...

Deloitte

Project - Data Engineer II

Saint Louis, MO · On-site

$111K - $133K/yr

... offshore). Your focus will be on delivering reliable, performant, and cost-effective data pipelines and curated datasets to enable analytics and downstream applications. * Design, build, and support ...

Perficient

Databricks Solutions Architect

Saint Louis, MO · On-site

$59 - $77.75/hr

About Us The Perficient Data & Analytics Solutions organization supports a wide variety of clients ... Liaise with offshore team and clients for resolving technical dependencies, issues, and risks.

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Offshore Data Analytics information

What is the difference between Offshore Data Analytics vs Data Analyst?

AspectOffshore Data AnalyticsData Analyst
CredentialsBachelor's in Data Science, Analytics, or related field; often requires certifications like CAP, Microsoft Certified Data AnalystBachelor's in Data Science, Statistics, or related field; certifications are optional
Work EnvironmentRemote or offshore office settings, often in outsourcing hubsOn-site or remote within a company's office
Employer & IndustryOutsourcing companies, multinational corporations, consulting firmsCorporations, government agencies, financial institutions
Common Search & ComparisonYesYes

Offshore Data Analytics involves analyzing data remotely, often for multiple clients or companies, typically within outsourcing or consulting environments. Data Analysts usually work directly within a company's team, focusing on internal data. While both roles require similar skills and certifications, Offshore Data Analytics emphasizes remote, outsourced work, whereas Data Analysts are embedded within organizations.

What are popular job titles related to Offshore Data Analytics jobs in Missouri? For Offshore Data Analytics jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Offshore Data Analytics jobs in Missouri look for? The top searched job categories for Offshore Data Analytics jobs in Missouri are:
What cities in Missouri are hiring for Offshore Data Analytics jobs? Cities in Missouri with the most Offshore Data Analytics job openings:
Offshore Data Analytics jobs near you

Data Delivery Manager | Data Architect (Banking)

K-Tek Resourcing LLC

Saint Louis, MO • On-site

$145K/yr

Other

Posted 5 days ago

Job description

Job Title: Data Delivery Manager | Data Architect (Banking)

Location: St. Louis, MO (Hybrid – 2-3 Days Onsite)
Employment Type: Full-Time
Salary: $145K/Year
Industry: Banking & Financial Services

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.

Key Responsibilities< 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.
Required Qualifications
  • 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.
Preferred Qualifications
  • 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.
Why Join Us?
  • 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!

 
 
 

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