Job Title: Data Management/Data Governance Consultant
Location: Jersey City NJ (Hybrid 3 days a week)
Length: 10 months
Start: ASAP
Interview: Video
Required Qualifications:
- The client is in the process of developing a data management / governance program.
- This engagement is centered around executing projectbased work as part of the program rollout which may include developing metrics drafting policies procedures and business requirements facilitating working groups conducting deep dives mapping processes / data flows etc.
- This engagement requires intermediatelevel data management experience including indepth knowledge in areas such as data architecture design and structure.
- This resource should have sufficient subject matter expertise to assess data issues and identify a root cause.
- Experience with Alteryx Tableau Qlikview SharePoint JADE etc. (nice to have)
- It is important that this individual can succinctly articulate (visually and verbally) complex data concepts to senior stakeholders.
- Strong Project Management Skill is required as the resource will own a workstream and work with different stakeholders.
- Looking for candidates/resources local to NYC who can be onsite 3 days a week in Jersey City.
Engagement Details:
- Collaborate with stakeholders to understand data needs/challenges and translate into business requirements for strategic solutions
- Support the process for sourcing external data ensuring adherence to data onboarding requirements
- Perform data profiling define data quality rules and validations and conduct root cause analyses for identified data quality incidents and/or threshold breaches
- Enhance the problem management process to identify review remediate and escalate data quality incidents to impacted stakeholders
- Create dashboards and visualizations using business intelligence tools that are comprehensive and scalable to monitor data health
- Identify critical data elements and define requirements to be considered as part of operational prioritization and planning
- Define implement and maintain metadata and reference data standards and best practices to support data governance
- Enhance metadata management processes and repositories to ensure the accuracy and completeness of metadata documentation
- Partner with product and technology teams to develop conceptual and logical data models and document data flows
- Support strategic initiatives related to data warehousing and data lake implementation