Senior Data Architect
Philadelphia, PA, United States
Applications have closed
Publicis Groupe
Company Description
Publicis LifeSpeed is a fully integrated, cross-discipline team that provides best-in-class services in a fluid and modular way. With our clients at the center, we create brand movement at the speed of people’s lives by connecting real-time data with world-class creative, content, and media in service of growth and ROI.
Publicis LifeSpeed is a “power of one” solution, encompassing data, media, and production. By drawing from across the vast Publicis Groupe network, we are uniquely positioned to deliver innovation and specialized skills to our clients, as well as enriching opportunities and inclusive benefits to our employees. We pride ourselves on combining the energetic atmosphere of a startup company with the stability and experience of a global leader.
Job Description
We are seeking a Senior Data Architect to join our growing analytics capability at Insagic. The Senior Data Architect is responsible for defining information management and analytical needs, data architecture requirements, solution design, delivery, quality assurance functions, along with initial build, ongoing management, maintenance, documentation and expansion of the data and information management infrastructure.
EXPECTATIONS:
The Senior Data Architect will help shape the vision of healthcare informatics strategy, formulates and administers information management policies, procedures, goals, and objectives. Enables cross-functional synergies across business units and coordinating with data & analytics leads to develop solutions that effectively meet current and future information management needs across clients, as well as identifies opportunities to leverage and align analytical capabilities to further advance data-driven marketing strategies.
The senior data architect will be responsible for incorporating a variety of external healthcare datasets into the Insagic platform environment, from helping to initially assess the datasets all the way to on-boarding and making sure they are ready for analytics.
WHAT WILL IT TAKE
- Work closely with the data and analytics leads and partner cross-functionally with business and technology to achieve the company’s strategic and operational objectives
- Provide guidance and advisory on exploiting healthcare data sources - reference data sets and classification systems such as NDC, ATC, RxNorm, SNOMED, ICD, and others, as well as transactional data assets such as pharmacy claims, professional claim, EHR, and other data as may be included to meet business needs – and utilization to provide differentiating insights to the clients
- Define and set standards for clinical/healthcare data governance, integration, decision-support, data access, data management, analytics, quality and vendor relationships
- Develop and implement data security policies and best practices to ensure compliance with HIPAA/HITECH requirements and other applicable regulatory and licensing requirements
- Prioritize tasks as they relate to the selection, acquisition, development, and management of core data assets
- Oversee inventory, documentation, and cataloging of data assets for clients and assure full lifetime cycle value is achieved, including coordination with key business and product stakeholders
- Maintain updated knowledge of technology standards, industry trends, and emerging standards and technologies
- Coordinate and consult with third-party vendors as required
Qualifications
WHAT YOU WILL BRING
- 8-10 years of professional hands-on experience
- Experience successfully managing and delivering a wide variety of data infrastructure solutions
- Demonstrated ability to on-board and validate complex data assets
- Demonstrated ability to lead with ambiguity & evolving business needs
- Ability to multitasking with proper prioritization
- Operate with agile methods and frameworks
- Understanding of data privacy best practices/HIPAA compliance and security of data in use
- BS in Mathematics, Statistics, Computer Science or Engineering – preferred/not required
Additional Information
All your information will be kept confidential according to EEO guidelines.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Classification Computer Science Data governance Data management Engineering Mathematics Privacy RxNorm Security SNOMED Statistics
Perks/benefits: Career development Startup environment
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