Data Modeling Analyst, Sr. jobs in Ohio

THIS IS ONSITE ROLE 2 DAYS/WEEK AND WHENEVER REQUIRED.

Client: State of Ohio AGE-

Position: Data Solution Architect - 737214 (Hybrid, 2days/week)

Contract: 7/1/2024 6/30/2025

Closing Date: 5/20/2024

Location: Columbus OH

Job Description:

The Ohio Department of Aging (ODA) is seeking a talented and results-oriented Data Solution Architect to join our growing team. In this role, you will play a pivotal role in driving data-driven decision making across the agency by implementing data governance and data analytics solutions. Your responsibilities will include:

• Design and implement logical and physical data models to ensure efficient data storage, retrieval, and analysis.
• Map data flows between various systems and applications to optimize data movement and minimize errors.
• Lead the development and implementation of a master data management strategy to ensure data consistency and accuracy across the organization.
• Develop and enforce data quality standards and processes to maintain the integrity of ODA's data and ensure smooth exchange with the Innovate Ohio platform.
• Champion and implement data governance frameworks and policies to ensure data security, privacy, and accessibility within ODA and when collaborating with the Innovate Ohio platform.
• Collaborate with cross-functional teams within ODA and with the Innovate Ohio platform team to understand business needs and translate them into technical data solutions that enable collaboration.
• Stay abreast of emerging data management trends and technologies, evaluating their potential application within ODA and for enhancing collaboration with the Innovate Ohio platform.

Mandatory Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Science or a related field.
• Minimum 7 years of experience in data architecture, data modeling, or a similar role.
• Proven experience in designing and implementing logical and physical data models.
• In-depth knowledge of data warehousing and data management concepts.
• Expertise in master data management principles and best practices.
• Strong understanding of data quality methodologies and data cleansing techniques.
• Experience with data governance frameworks and procedures.
• Excellent communication and collaboration skills to work effectively with technical and non-technical stakeholders within ODA and with the Innovate Ohio platform team.
• Proficiency in SQL and data manipulation tools.