Lead Data Specialist Pathways

Lead Data Specialist Pathways

Posted Today by 1759914293

Negotiable
Outside
Remote
USA

Summary: The Lead Data Specialist Pathways role is a full-time position focused on contributing to the MDCPS Data Management Team. The primary responsibilities include participating in data migration and design activities for a new cloud-based case management system, as well as planning and implementing a cloud-based data stack for enhanced analytics capabilities. The position requires extensive experience in data management and analytics, particularly in the context of child welfare. The individual will report to the lead architect on the team.

Key Responsibilities:

  • Support and participate in identification and management of data-related issues, risks, and gaps.
  • Understand, conceive, and document source and target-state data architectures for applications and cloud-based data analytic platforms.
  • Design and implement data pipelines.
  • Develop subject matter expertise in business drivers, semantic meaning, and practices for data management services.
  • Design and develop ETL architecture and technical work packages.
  • Deliver measurable improvements in data quality metrics.
  • Create entity relationship diagrams, business vocabulary, data dictionaries, multi-dimensional models, and semantic models.
  • Develop data mapping specifications for migration from legacy databases to new applications.
  • Plan and implement data set catalogues.
  • Provision and manage metadata in the data stack.
  • Identify business rules for complex metrics and code calculations for those metrics.
  • Design and develop semantic models with time series and hierarchical views for child welfare metrics.

Key Skills:

  • Eight (8) years of experience with multidimensional model database design, ETL design, and development.
  • Eight (8) years of experience with data quality and master data management integration.
  • Eight (8) years of experience with ERDs, business vocabulary, data dictionaries, and database schema mapping.
  • Eight (8) years of experience in data analytic implementation projects.
  • Three (3) years of experience with cloud-based data stack tools and platforms.
  • Excellent English-speaking, written communication, and knowledge transfer skills.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: Other

Detailed Description From Employer:

Role: Lead Data Specialist Pathways

Location: Remote

Duration: 12+Month with Extension

Interview: Teams/Video

POSITION SUMMARY:

This position is full-time (40 hours weekly) and requires an individual to participate as a significantly contributing team member on the MDCPS Data Management Team (DMT). The near-term scope of this team and this position include participating in data related migration and design activities on the replacement of legacy case management system with the new CCWIS Cloud-Based hosted solution, and additional to that, planning and implementation of cloud-based data stack to enable robust and actionable analytics capabilities at MDCPS. This individual will be reporting to the lead architect on DMT.

OBJECTIVE:

MDCPS seeks an experienced professional to participate in planning and execution of data cleansing and data migration initiatives and concurrently participate in development of data models, data stack architecture, technical implementation and other critical functions of data management that will enable evidence-based Child Welfare Practice at MDCPS.

POSITION SUMMARY:

This position is full-time (40 hours weekly) and requires an individual to participate as a significantly contributing team member on the MDCPS Data Management Team (DMT). The near-term scope of this team and this position include participating in data related migration and design activities on the replacement of legacy case management system with the new CCWIS Cloud-Based hosted solution, and additional to that, planning and implementation of cloud-based data

stack to enable robust and actionable analytics capabilities at MDCPS. This individual will be reporting to the leadnarchitect on DMT.

MAJOR RESPONSIBLITIES:

Support and participation in Identification and management of data-related issues / risks and gaps

Understanding, conceiving and documenting source and target-state data architectures for applications and cloud-based data analytic platforms

Data Pipeline Design and Implementation

Development of subject matter expertise in business drivers, business semantic meaning and business practice when

providing data management services.

Design and Development of ETL architecture and technical work packages

Deliver on measurable improvements of data quality metrics

Entity Relationship Diagramming, Business Vocabulary, Data Dictionary, Multi-Dimensional Models, Semantic Models

Data mapping specifications for migration from large legacy database to new case management application, entity

relationship diagrams, data base schema, data dictionary, transformation lineage, business vocabulary/semantic models.

Data Set Catalogue Planning and Implementation.

Provisioning and managing meta data in the data stack

Identifying business rules for complex business metrics and coding calculations for those metrics.

Semantic model design and development with time series, hierarchical/drill down views for child welfare metrics

To be considered, all proposed consultants must meet the following mandatory requirements:

Eight (8) years of experience with Multidimensional Model Data Base Design, ETL design and development.

Eight (8) years of experience with data quality and master data management integration.

Eight (8) years of experience with ERD's, business vocabulary, data dictionary and database schema mapping.

Eight (8) years of data analytic implementation projects

Three (3) years of experience with cloud-based data stack tools and platforms

Excellent English-speaking skills, written communication skills, and knowledge transfer skills

Preferred Qualifications:

Experience in Child Welfare data modeling, case management and analytics

Experience with data quality and data exchange components of federal requirements for Child Welfare

management systems

Prior CCWIS experience

Ability to communicate effectively

Ability to build a positive, productive rapport with team members