Director of Enterprise Data Management & Analytics

FHLBank Topeka•Topeka, KS

35d

About The Position

The individual in this role is a demonstrated strategic leader responsible for development, maintenance and execution of the Enterprise Data Management and Analytics Program with focus on governance, architecture, integration, data warehousing, and analytics to enable business-led transformation data strategies to improve and develop new insight capability across all facets of the FHLBank. Key aspect of this role is collaborating with cross-functional business partners, to ensure the fostering of an environment of creativity and innovation while delivering best practice solutions through leveraging experience, thought leadership, and technology to empower a culture that drives strategic objectives through data.

Requirements

Bachelor's degree in Computer Science, Data Science, Analytics, Statistics, or related field.
Senior level of competency with at least 10 years of similar or related professional experience.
10 years of progressive information management solutions and end-to-end development life-cycle support and SDLC processes.
7 years of experience in statistical analysis, research, and problem-solving role.
6 years in a senior leadership role in data management & analytics, overseeing teams, departments, and cross-functional initiatives.
Highly effective verbal and written communication skills with ability to compose concise, visually appealing presentations and able to interact effectively and influence employees at all levels within the organization.
Strong track record of attracting, mentoring, and developing talent, fostering a culture of accountability and growth.
Ability to work collaboratively with leaders and stakeholders across multiple business functions and influence strategy and direction.
Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management.
Demonstrated experience with developing data strategy, policies, and procedures, as well as successfully executing programs that meet or exceed expectations in a dynamic environment; experience creating tools and capabilities to assist with data discovery & collaboration, ensure data quality, and to load, clean, enrich, manage, and share data and metadata from a variety of sources.
Deep experience with various business intelligence, data analytics, data governance, and data visualization tools and technologies - AI, SQL, Microsoft Power Platform, Python, R, etc.
Demonstrated ability to multi-task effectively, responding to changing business priorities and deadlines.
Strong business understanding and passion for continuous learning.
Self-starter and intellectual curiosity to seek solutions without direction.
Attention to detail and ability to consistently meet deadlines.
Must be able to work and travel independently and use general office equipment.