Job Description :
Title: IT Architect, Sr.

Location: Detroit, MI

Duration: 12 Months

Description:
Engagement Description:

The Data Architect is a high exposure role within BCBSM’s Informatics Architecture group that will be responsible for the architecture and modeling of all data solutions, identifying gaps in the current data architecture, and defining the future state solutions and capabilities necessary to enable Informatics Strategy adoption and Self-Service analytics.

A successful candidate should have experience at multiple healthcare payers, navigating and negotiating data solutions in a complex and matrix organization, excellent communication and consulting skills, and the ability to operate both at a high level in defining data/informatics strategy as well as getting deep into the details of designing data models from scratch.


Responsibilities Include:

Implementing analytics and data solutions using architectural models in a sustainable and agile manner
Provides expertise and guidance in the areas of Informatics, Data Architecture, Data Warehousing, Analytics, Visualizations and reporting.
Working with business and technology stakeholders – senior leadership, middle management and subject-matter experts –building a holistic business processes and information assets; linking the business mission, strategy and processes of the organization to its Enterprise Informatics Strategy.
Assists in the creation of the high-level architecture and data solutions, design data centric projects (conceptual model, integration model, sourcing) in alignment with the enterprise informatics strategy and translates enterprise or business needs into long-term information architecture solutions.
Applies enterprise vision to all technical and application projects, understanding and communicating different architectural models/strategies that are consistent with business strategies.
Lead the design, development and implementation of complex, multi-application transactional and analytical data models at the conceptual and logical levels using standard data modeling tools
Translate complex business requirements into tangible data requirements through collaborative work with both business and technical subject matter experts
Develops Logical models with an eye towards high performance, scalability, flexibility and usability
Publishes and conducts solution reviews and negotiate solutions with business and technical teams.
Analyzes and profiles large and complex data sets to discover and/or validate data quality issues and business rules.
Facilitates the development of data-related policies, processes, procedures and standards
Actively researches philosophical and technological changes in data management and pursues an understanding of the organization’s business plans and strategies. Evaluates the value of these trends to the organization and presents the information to management and other team members.


QUALIFICATIONS:

Top 3 Required Skills/Experience:

6+ years of experience within health care analyzing Health plan data (Membership, Claims, Provider, Clinical, etc, and knowledge of the business processes and supporting metrics/KPI
10+ years of experience architecting and modeling an enterprise use layer, semantic layer, distribution layer, dependent data marts and BI/reporting solutions against a very large Enterprise-wide Data Warehouse (30+ terabytes) according to industry standards
Superior communication skills (written, verbal, and presentation), resource will be the primary interface between operational and analytical areas in the business, enterprise architecture, and technical resources developing information management solutions


Required Skills/Experience:

Extensive knowledge of data modeling concepts and best practices both in a multi-layer data warehouse and Hadoop ecosystem.
Experience with data modeling and metadata solutions including ERWin, System Architect, Informatica Metadata Manager, and leveraging those solutions to produce data dictionaries and enterprise data lineage documentation
Experience with data architecture for various layers of analytic data stores including data hub, ODS, EDW, ERP, Hadoop and Data Marts
Experience with data governance working with data stewards and business stakeholders to understand the impacts of data model changes, gain consensus on data definition and business rules, and communicating to all consuming systems
Demonstrated ability to lead and mentor data modelers and data analysts
Knowledge of transaction standards (834, NCPDP, HL7, etc
Experience with Master Data Management solutions, Informatica MDM and IBM Initiate
Experience with data profiling/quality solution, Informatica Data Quality (IDQ)
Demonstrated expertise in writing and analyzing complex SQL queries in a Very Large Database (VLDB) environment is required
Ability to work on multiple projects simultaneously and deliver within tight timelines while being flexible in adapting to new roles
Ability to work with multiple areas within organization to get business objectives, data requirements etc.
Ability to interpret data that is not well defined or documented and develop recommendations based on findings


Preferred Skills/Experience – Optional but preferred skills/experience. Include:

Experience in big data / Hadoop ecosystems in an enterprise environment
Knowledge of various BI and data discovery tools
Knowledge of Hadoop integration with ERP systems and APIs.
Experience in ETL tools both in RDBMS and Big Data environments.


Education/Certifications:

Bachelor’s Degree in related field required such as Computer Science, Computer Information Systems or Computer Engineering
Master''s Degree in related field preferred
TOGAF certification and OCP preferred
             

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