We have urgent requirement of Principal Data Modeler in Nashville, TN (Day 1 onsite)
Job Title: Principal Data Modeler
Location: Nashville, TN (Day 1 onsite)
Contract
Major Responsibilities:
Data Analysis & Logical Modeling:
- Architect and oversee enterprise-wide data modeling initiatives
- Lead the development of scalable data models for enterprise applications
- Develop and enforce best practices for schema evolution and data interoperability
- Define data modeling standards and frameworks for the organization
- Work with stakeholders to implement data governance and security controls
- Perform advanced data analysis to inform design decisions and ensure alignment with business needs.
- Create logical data models or object models of moderate complexity to address business challenges.
- Develop data modeling automation frameworks to enhance consistency
- Implement advanced metadata management and data quality monitoring
- Define data transformation requirements and implement efficient solutions.
- Implement enterprise data management practices, standards, and frameworks for Data Integration
- Ensure data governance and security best practices are followed
- Participate in code reviews and provide feedback on SQL queries and ETL pipelines
- Build automated validation processes for data integrity checks
Collaboration with Data Product Owners:
- Partner with Data Product Owners to gather and refine requirements for data products.
- Work with senior leaders to define enterprise data strategy
- Translate business needs into technical designs that align with organizational goals.
- Drive adoption of standardized data modeling frameworks
- Conduct stakeholder meetings to review and validate data models
- Work closely with data engineers to implement complex models
- Advocate for data quality and integrity across all projects
Business System Architecture Knowledge:
- Demonstrate expertise in core business applications and support systems.
- Understand and apply communication protocols and interfaces used by business systems to enable efficient data integration.
- Ensure high availability and scalability in data models
- Evaluate the adoption of modern data storage and processing paradigms
- Oversee cloud data architecture across multiple business domains
- Evaluate and recommend new data modeling tools and technologies
- Optimize cloud data structures for performance and scalability.
- Translate project-specific requirements into a cloud structure that meets those requirements, as well as taking into account the project’s resource use and scalability requirements.
Identifying & Addressing Data Gaps:
- Assess and identify gaps in data architecture, systems, and workflows.
- Optimize data models for performance.
- Establish guidelines for schema evolution and data interoperability
- Recommend and implement changes to improve data quality, accessibility, and consistency.
Data Product Design & Integration:
- Design schemas and structures for data products that are robust, scalable, and secure.
- Integrate data products with business systems, workflows, and analytical tools.
- Ensure data products are optimized for machine learning, real-time analytics, and other advanced use cases.
- Work closely with individuals across the technology organizations to help promote awareness of the data architecture and ensure that enterprise assets of competence are leveraged.
- Identify the best cloud architecture options to help the firm accomplish its strategic goals.
- Good understanding of cloud computing concepts
Enterprise Standards & Governance:
- Maintain and enforce enterprise data architecture guidelines, including data governance, cybersecurity, metadata management, and auditability.
- Define best practices for schema versioning and evolution
- Establish enterprise data governance policies
- Work with security teams to define data access control policies
- Collaborate with governance teams to enhance metadata management
- Enforce enterprise-wide data modeling standards
- Collaborate across various verticals to ensure compliance and data quality.
- Performs other duties as assigned
- Practices and adheres to the “Code of Conduct” philosophy and “Mission and Value Statement.”
Experience Required:
- Master's degree Computer Science or a related field.
- 7+ years of experience in data management, data products, or analytics.
- Service and Quality Excellence: Ability to demonstrate an uncompromising commitment to delivering exceptional care to create an unmatched value proposition for our patients.
- Honor our Mission and Values: Ability to build trust and act with authenticity to cultivate a culture of integrity, inclusion, and mutual respect.
- Effective Decision Making: Ability to make timely, informed decisions that are in the best interest of our patients, employees, providers, community.
- Attain and Leverage Strategic Relationships: Ability to develop and strengthen collaborative relationships with both internal and external stakeholders to advance the care of our patients and the growth of customer.
- Lead and Develop Others: Ability to lead others to accomplish organizational goals and objectives; provide meaningful coaching and mentoring to increase the capabilities of individuals and teams and drive employee engagement.
- Communicate with Impact: Ability to deliver information in a clear, concise, and compelling manner to effectively engage others and achieve desired results.
- Achieve Success through Change: Ability to identify opportunities for improvement and innovation, remove barriers and resistance, and enable desired behaviors.
- Drive Execution and Financial Results: Ability to commit to the success and financial wellbeing of customer by challenging others to excel and hold themselves and others accountable for achieving results.
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