Program Manager 5/ PM5)Data Analytics Solution Manager)

RICEFW Technologies Inc
Columbus, OH Full Time
POSTED ON 5/16/2024 CLOSED ON 5/24/2024

Job Posting for Program Manager 5/ PM5)Data Analytics Solution Manager) at RICEFW Technologies Inc

Job Details

Hybrid schedule - Twice a week in office and when thejob required to be working in the office Data SolutionArchitect

Bachelor's degree in Computer Science, Information Technology, Data Science or a related field.

Proven experience in designing and implementing logical and physical data models.

Expertise in master data management principles and best practices.

Experience with data governance frameworks and procedures.

Proficiency in SQL and data manipulation tools.

Requirement 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.

Lead the development and implementation of a master data management strategy to ensure data consistency and accuracy across the organization.

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.

Stay abreast of emerging data management trends and technologies, evaluating their potential application within ODA and for enhancing collaboration with the Innovate Ohio platform.

Required/Desired Skills
Skill Required /Desired Amount of required experience in yrs Candidate Experience
Bachelor's degree in Computer Science, Information Technology, Data Science or a related field. Required 0
Minimum 7 years of experience in data architecture, data modeling, or a similar role. Required 7
Proven experience in designing and implementing logical and physical data models. Required 0
In-depth knowledge of data warehousing and data management concepts. Required 0
Expertise in master data management principles and best practices. Required 0
Strong understanding of data quality methodologies and data cleansing techniques. Required 0
Experience with data governance frameworks and procedures. Required 0
Excellent communication,collaboration skills to work effectively with technical,non-technical stakeholders within ODA and Ohio platform team Required 0
Proficiency in SQL and data manipulation tools. Required 0
Questions
No. Question Candidate Answer
Question1 Hybrid schedule - Twice a week in office and when the job required to be working in the office okay?
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