Data Manager

The Data Manager at RP Professional Services is tasked with overseeing data governance to ensure data integrity and quality. Responsibilities include developing data management strategies, managing data architecture, and collaborating with technical teams on data models. You’ll also establish data quality controls, lead data migration efforts, and create dashboards that support data-driven decision-making for the Department of Veterans Affairs.

To be successful as a Data Manager at RP Professional Services, candidates should possess a Bachelor's degree in Data Science or Information Systems and a minimum of 5 years of experience in data management or governance. Proficiency in SQL and experience with data visualization tools such as Tableau or Power BI are also necessary. Familiarity with data integration tools, data security standards, and a strong understanding of data governance frameworks are vital for the role.

Essential skills for a Data Manager at RP Professional Services involve a strong understanding of data governance frameworks, expertise in data modeling and warehousing, and the ability to manage large data sets. Candidates should also have excellent collaboration skills to engage effectively with technical and non-technical stakeholders and the capacity to interpret data security controls in compliance with federal regulations.

While not mandatory, prior experience supporting government or healthcare IT environments is preferred for the Data Manager position at RP Professional Services, especially with the Department of Veterans Affairs. This background can enhance the understanding of the unique data requirements and regulatory landscape involved in effectively managing data for these sectors.

As a Data Manager at RP Professional Services, you can expect a comprehensive benefits package that includes medical, vision, and dental coverage, a competitive PTO package, and up to a 4% retirement match with 100% vesting. Additionally, the company provides paid short-term and long-term disability insurance, along with basic life insurance, ensuring a solid support structure for all employees.

In my previous roles as a Data Manager, I implemented data quality control measures by establishing clear validation processes and conducting regular audits to identify discrepancies. I also collaborated closely with stakeholders to define data requirements, enabling me to create comprehensive data documentation that detailed standards and policies.

When managing data migration projects, I develop a project plan that outlines the steps for secure data transfer, transformation, and validation. I ensure that I work closely with technical teams to test the migration process thoroughly and address any issues that arise before the final transfer occurs.

I have extensive experience using Tableau to create interactive dashboards that help stakeholders visualize key metrics and drive data-informed decisions. I focus on understanding the audience's needs, ensuring that the visualizations are not only informative but also user-friendly and accessible.

I adopt strategies that emphasize collaboration with cross-functional teams to establish data governance processes. This includes defining roles and responsibilities, developing policies for data management, and establishing protocols to ensure compliance with federal regulations and standards.

Implementing data security controls involves understanding federal regulations and working closely with compliance teams to ensure that all data management practices adhere to guidelines. I review existing data security measures and recommend improvements to secure data storage and access effectively.

Certainly! I led a data warehousing project that aimed to consolidate data from multiple sources for a more unified reporting system. The challenge was synchronizing disparate data formats and ensuring its accuracy. By implementing rigorous data validation techniques and involving cross-departmental insights, we achieved a successful migration that significantly improved reporting efficiency.

Collaboration is crucial in data management; by engaging with technical and non-technical stakeholders, I can better understand their needs and transparency requirements. This communication helps ensure that everyone is aligned with our data strategy and facilitates informed decision-making throughout projects.

To stay updated, I regularly attend workshops, webinars, and industry conferences. I also follow industry publications and join professional networks that focus on data management innovations and best practices. Continuous learning is vital in adapting to the rapidly evolving data landscape.

I prioritize creating clear and comprehensive data management documentation that includes data dictionaries, standards, and policies. My approach involves collecting feedback from users to ensure that the documentation is user-friendly and serves as a valuable resource for current and future team members.

Aligning data management strategies with business objectives is crucial because it ensures that our data initiatives support the organization's goals. This alignment maximizes the value extracted from data, enabling us to make informed decisions that contribute to efficiency and success.