Trading Partner Data Architect - AZ

Awarded a Healthiest Employer, Blue Cross Blue Shield of Arizona aims to fulfill its mission to inspire health and make it easy. AZ Blue offers a variety of health insurance products and services to meet the diverse needs of individuals, families, and small and large businesses as well as providing information and tools to help individuals make better health decisions.

Purpose of the job

As a Data Modeler Architect, you'll play a crucial role in supporting our Trading Partner Data Management team's strategy. This team handles data exchange through EDI and flat files with external partners. Your primary responsibilities will involve shaping our data strategy, optimizing processes for efficiency, and ensuring seamless data exchange. The Data Modeler Architect is responsible for strategic understanding and documenting Trading Partner related data sources.

• The Data Modeler Architect is responsible for creation and maintenance of artifacts related to information architecture including Architectural Diagrams Data Flow Diagrams, and Conceptual, Logical and Physical Data and or Process Models.
• Assists in near/mid-term roadmap creation, to address gaps and move towards future state data architecture to support growth, optimization and innovation.
• Creates visual representations of the people, places and things of interest to a business. Facilitates communication between business people and technical people. Documents the data concepts / data blueprint that must be communicated and agreed upon.
• Designs data interfaces between systems, and the infrastructure that will support common data operations. Creates a formal process for managing the flow of data and how it is processed for Trading Partner Extracts and EDI integration.

Qualifications

REQUIRED QUALIFICATIONS

Required Work Experience

• 3 years experience in modeling including Conceptual, Logical, and Physical data and process modeling (Level 1)
• 2 years end to end experience evolving data and process models from initiation to physical implementation (Level 1)
• 2 years experience in mapping data integration and data architecture (Level 1)
• 5 years experience in modeling including Conceptual, Logical, and Physical data and process modeling (Level 2)
• 3 years end to end experience evolving data and process models from initiation to physical implementation (Level 2)
• 3 years experience in mapping data integration and data architecture (Level 2)

Required Education

• Associates degree in Computer Science, Information Systems, Engineering or related field (All Levels)

Required Licenses

• N/A

Required Certifications

• N/A

PREFERRED QUALIFICATIONS

Preferred Work Experience

• 7 years of experience modeling data to conceptual, logical and physical models (Level 1= 4 years and 2= 7 years)
• 5 years experience in healthcare industry data (e.g. EDI, HL7/FHIR, Health and Pharmacy Claims, Service, and Enrollment transactions). (Level 1 and 2)
• 5 years experience in mapping data integration and data architecture (Level 1= 3 years and 2= 5 years
• 4 years experience Master Data Management (Level 2)

Preferred Education

• Bachelors degree in Computer Science, Information Systems, Business or related field (All Levels)

Preferred Licenses

• N/A

Preferred Certifications

• Technical Certifications in Microsoft SQL
• Data solution certifications from governing bodies like TDWI, DAMA, Kimball, Hortonworks, Cloudera
• CMDP (Certified Data Management Professional)

ESSENTIAL job functions AND RESPONSIBILITIES

Level 1 - Performs job functions with moderate supervision

• Deliver architectural, logical and physical designs to implement effective data and integration solutions and models for creation and management of company information, processes and other knowledge assets.
• Responsible for domain specific content/collateral, based on the EA standards/ methodologies, to document the current state and future state data architecture
• Apply architectural and engineering concepts to design a solution that meets operational requirements, such as scalability, maintainability, security, reliability, extensibility, flexibility, availability, and manageability. This will include enterprise level cloud data architecture, data visualization concepts and advanced analytic concepts.
• Prepare accurate database design and architecture reports for management teams.
• Lead and facilitate communication between technical and business stakeholders for issues and/or major changes; acting as the technical domain subject matter expert.
• Profile and analyze existing data for quality evaluations and suitability for ongoing operations or transformation and migration to new applications.
• Identify data quality issues and propose solution(s) necessary to resolve the data anomaly and prevent future issues.
• Lead physical documentation reviews with internal and external teams to ensure the deliverables reflect technical requirements
• Perform all other duties as assigned.
• Define and document best practices and frameworks for use across the data and analytics landscape.
• Strong knowledge of Azure Data Factory data stack. Use Microsoft Azure Data Warehouse services and T-SQL to create database solutions that align with company needs and ensure seamless data access and flow across the organization.
• Monitor system performance, identify problems, and implement necessary corrections and improvements.

Level 2 - Performs job functions in a lead capacity

• Establish domain specific standards, near/mid-term strategy, and roadmaps (0-18 months), in adherence to, and in support of Enterprise standards, strategy and roadmaps.
• Assist in creating the vision for future state technologies and architecture and participate in setting Enterprise standards and mid/long-term strategy/roadmaps (18-60 months), acting as domain specific subject matter experts
• Develop technology specifications and ensure that new technology solutions are designed for optimal access and usefulness, and leverage existing technologies when possible.
• Participate and lead research and development efforts (proofs of concept, prototypes), as subject matter experts, when introducing new technologies.
• Recommend solutions to improve new and existing data and application systems.
• Ensure proper management and stewardship of enterprise metadata, including collaboration with governance representatives and data stewards to define requirements for data quality monitoring and resolution/support.
• Conduct logical documentation reviews with all stakeholders including: enterprise architects, data stewards, business analysts, product owners and business subject matter experts to ensure the deliverables reflect business requirements.
• Provide coaching and mentoring to team members in the areas of technical skills and competencies.
• The position requires a full-time work schedule. Full-time is defined as working at least 40 hours per week, plus any overtime as requested or needed to perform job responsibilities.
• Perform all other duties as assigned.

competencies

REQUIRED COMPETENCIES

Required Job Skills (Applies to All Levels)

• A proven track record of using technology to capitalize on business opportunities and deliver projects on time and on budget consistently.
• Proven experience in documenting business processes and creating system designs using process flow diagram tools, data modeling tools (ERWIN or E/R Studio), sequence diagrams, etc.
• Understands and resolves highly complex large scale or systems level problems. Able to quickly and efficiently troubleshoot such problems utilizing team resources to coordinate solutions
• Ability to apply verbal, written and persuasive communication skills to influence others both individually and groups.
• Proficient in utilization of audio/visual tools to effectively present to groups and capable of presenting technical information to other functions or groups both inside and outside of the organization
• Collaborate closely with business stakeholders and development teams to ensure the architecture and design is usable, maintainable, scalable, reliable, extensible, secure, portable and functional.
• Understand, advocate and augment the standards, best practices and architectural principles that guide solution decisions, development environments, tools, and deployment procedures for the enterprise.
• Strong self-starter, motivated, enthusiastic, risk taker, innovative, and customer service oriented with a record of success.
• Excellent organizational and planning skills.
• Ability to cope with the rapid pace and constant change associated with the industry.
• Ability to successfully manage numerous projects simultaneously.
• Ability to communicate effectively, both oral and written, with internal and external contacts.
• Strong understanding of infrastructure architecture and security architecture concepts. [jk: why?]
• Strong command of database design concepts
• Understanding of NoSQL, Relational, Columnar and Graph database platforms
• Experience with one or more of the following data modeling tools: ER/Studio, ERWin, or Power Designer

Required Professional Competencies (Applies to All Levels)

• Proven expertise in the following disciplines: enterprise data architecture, enterprise process modeling, data profiling and analysis, enterprise conceptual, logical, and physical data modeling, dimensional data modeling, and their respective usage.
• Requirements gathering and analysis for all project data objects. In addition to the requirements and analysis, ability to model for extensibility over time.
• Ability to ascertain system of record nuances and data relationships with minimal assistance.
• Ability to profile data and ascertain data quality issues.
• Ability to reverse engineer a database schema and provide logical relationships when RI is not present in the DBMS
• Highly organized, self-motivated, competent and shows initiative
• Ability to work as a project team member, learning the nuances of the business data domain with little assistance
• Strong data integration skills needed for disparate data source rationalization
• Strong interpersonal, communication (written and verbal), influencing, and negotiation skills with all levels of the organization
• Understanding the data artifact deliverables needed during the lifecycle of a project, e.g. during the lifecycle of a project, when do conceptual, logical or physical documentation need to be completed, reviewed, and approved.
• Interpersonal skills necessary to work across multiple teams and disciplines focusing on data requirements, and data services to produce optimal solutions
• Strong analytical skills to support independent and effective decision-making
• Ability to prioritize tasks and work with multiple priorities, sometimes under limited time constraints
• Solid technical ability and problem solving skills
• Ability to be self-aware and emotionally intelligent, able to give and receive constructive feedback and continue self-development

Required Leadership Experience and Competencies

• Provide leadership, promote teamwork, and act collaboratively to meet objectives (Applies to Levels 2)
• Experience leading teams and implementing projects with both business and technical participants (Applies to Levels 2).
• Ability to prioritize tasks and work with multiple priorities, sometimes under limited time constraints. (Applies to All Levels)
• Ability to build consensus with a diverse team in an ever-changing environment. (Applies to All Levels)

PREFERRED COMPETENCIES

Preferred Job Skills (Applies to All Levels)

• Expert knowledge designing highly redundant, scalable, multi-tier enterprise transaction processing data models
• Experience utilizing a Master Data Management tool such as Profisee Maestro.
• Experience working in an agile development environment
• Experience with healthcare and health plan data and data structures
• Knowledge of HIPAA security and privacy standards
• Experience with Cloud data technologies (eg. Talend, Azure DB, Cosmos DB and Snowflake).

Preferred Professional Competencies (Applies to All Levels)

Ability to work with ambiguous and conflicting information while keeping focus on achieving the end goal.

Preferred Leadership Experience and Competencies (Applies to Level 2)

• Ability to provide mentoring and peer review to junior team members

Our Commitment

AZ Blue does not discriminate in hiring or employment on the basis of race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected group.

Thank you for your interest in Blue Cross Blue Shield of Arizona. For more information on our company, see azblue.com. If interested in this position, please apply.