Director of Data Management

CrossConnect Talent; Topeka (KS); On-site; USD 155,000 - 195,000; Full time

Job summary

A financial services organization is seeking a Director of Enterprise Data Management & Analytics in Topeka, KS. The successful candidate will design and lead the Data Management program, transforming data into actionable insights. Responsibilities include establishing a data roadmap, managing budgets, and fostering effective teams. Qualified candidates should have over 10 years of experience in information management with a focus on leadership in data governance. The role offers a competitive salary of $155,000-$195,000 annually and is a full-time position.

Qualifications

• 10+ years of progressive experience in information management and the full SDLC.
• 6+ years in a senior leadership role.
• 7+ years in statistical analysis/research.

Responsibilities

• Establish and execute the enterprise data roadmap.
• Lead and mentor data architects and engineers.
• Manage department budgets and vendor relationships.
• Champion the enterprise data governance framework.
• Partner with cross‐functional leaders.

Skills

Leadership

Strategic Influence

SQL

Python

R

Statistical Analysis

Agile Methodologies

Data Governance

Education

Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field

Tools

Microsoft Power Platform

Job description

Director of Enterprise Data Management & Analytics

Topeka, KS $155,000.00-$195,000.00

Lawrence, KS $120,000.00-$130,000.00

Executive Summary

As a strategic leader, you will design and execute the Data Management and Analytics Program. You will lead teams across governance, architecture, integration, and analytics to transform data into actionable business insights. You are responsible for fostering a culture of innovation, leveraging thought leadership and modern technology to drive the organization’s strategic objectives.

Key Responsibilities

• Strategy & Vision: Establish and execute the enterprise data roadmap, including data warehousing, BI, AI, and cloud-native analytics.
• Team Leadership: Lead and mentor data architects and engineers; build a "Center of Excellence" that supports self‑service insights and advanced reporting.
• Operational Excellence: Manage department budgets, vendor relationships, and resource modeling to ensure disciplined project delivery and performance management.
• Data Governance: Champion the enterprise data governance framework to ensure data quality, integrity, security, and regulatory compliance.
• Collaboration: Partner with cross‑functional leaders to align technology strategy with business goals, uncovering trends and driving data‑driven decision‑making.

Requirements

Experience & Education

• Experience: 10+ years of progressive experience in information management and the full SDLC; 6+ years in a senior leadership role.
• Education: Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• Technical Depth: 7+ years in statistical analysis/research. Expert‑level knowledge of SQL, Python, R, and the Microsoft Power Platform.

Core Competencies

• Strategic Influence: Proven ability to influence executive stakeholders and lead organizational change.
• Technical Proficiency: Deep understanding of big data, cloud analytics, and Agile methodologies.
• Communication: Highly effective at translating complex data concepts into visually appealing, concise executive presentations.
• Accountability: Self‑starter with a track record of meeting deadlines in a high‑pressure, dynamic environment.

Seniority level

Seniority level: Director

Employment type

Employment type: Full‑time

Job function

Job function: Management, Analyst, and Information Technology

Industries

Industries: Financial Services and Banking