Director, Data Integration and Analytics Platform; Hybrid

The Data Integration & Analytics Platform Leader sets the strategic vision for enterprise-wide data platforms and analytics capabilities to fuel enterprise goals. This role ensures the design, integration and governance of scalable, secure and innovative data-solution that enable data-driven decision making and compliance. Provides thought leadership and acts as a subject matter expert in the designing and recommending of appropriate data integration, analytical approaches and methodologies.

Provides platform responsibility into data-driven insights that inform the business's strategic direction.

• Define and communicate the multi-year strategy for enterprise data, integration, API, and BI platforms; align investments to business priorities and measurable outcomes
• Lead data platforms, ensuring the design, integration, and evolution of scalable data platforms and foundational infrastructure.
• Lead the strategy and management of enterprise data lake and platform ecosystems, ensuring robust, secure, and seamless data integration and accessibility to enable advanced analytics and the development of data products.
• Direct the optimization of BI platforms to deliver actionable insights that inform executive decisions and advance objectives.
• Drive enterprise data interoperability by establishing and governing API strategies and standardized data exchange protocols to support evolving healthcare business models and regulatory requirements.
• Ensure platform controls meet security/privacy/regulatory requirements (access management, auditing, encryption, data minimization) and that exceptions are managed transparently.
• Partner with cross-functional teams to embed advanced data solutions into business processes and enable data-driven decision-making.
• Champion initiatives to improve data literacy and analytical skills across all levels of the organization, fostering a data-driven culture.
• Oversee the identification, evaluation, and implementation of emerging data technologies and methodologies to drive innovation and maintain competitive advantage.
• Oversee the design and implementation of scalable data pipelines, ETL processes, and data lake architectures for efficient, secure, and compliant data ingestion and transformation.
• Serve as a point of escalation for risks related to data management, analytics, and compliance.
• Mentor, coach, and develop team members to build a high-performing, innovative, and accountable data and analytics team.

This position manages people.

Education Level: Bachelor's Degree in Computer Science, Information Systems, or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

Experience:

• 8 years Progressive experience relating to data analytics/data analysis.
• 3 years Management experience.

• Master's Degree
• Conceptual data and cloud architecture - understands major native data components in Azure and/or AWS and there relationships and use cases.
• Mastery of relational database theory include SQL and at least one major RDBMS.
• Well versed in Big Data scenarios and applications.
• Experience with multiple analytics delivery tools, methods, and platforms including PowerBI and/or Tableau.
• Understanding of Advanced Analytics use cases and the applications of AI/ML for predictive analytics.
• Business
  
  Skills:
  
  Platform Strategy & Value Realization, Data Product Thinking, Operating Model & Governance, Regulated-Industry Acumen, Vendor/Portfolio Management.
• Leadership
  
  Skills:
  
  Cross-Functional Influence & Alignment, Change Leadership, Execution Leadership, Communication & Storytelling, Team Development & Motivation.
• Technical
  
  Skills:
  
  Advanced Analytics, AI Product Engineering, API Integration & Administration, Data & Insights Visualization. Data Integration & Management, Data Interoperability, Data Strategy & Governance, ML Engineering, AI Engineering.

• Strong quantitative and qualitative skills.
• Knowledge and understanding of analytical tools, such as SAS, Excel, SQL.
• Excellent communication skills both written and verbal.
• Ability to train others.
• Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and…