Director II Engineering

Director II Engineering

Location:

This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered.

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location will not be considered for employment, unless an accommodation is granted as required by law

The Director II Engineering is a strategic leader responsible for commercializing healthcare data and analytics. This role involves defining and executing the vision for data, advanced analytics, and modern platform development to generate new revenue streams and deliver innovative solutions across pharma, life sciences, and related sectors.

How You Will Make an Impact

* Lead strategy and execution for healthcare data and analytics commercialization.

* Build and scale cloud-based data platforms integrating RWD, EHR, claims, and other healthcare data.

* Partner with business and external stakeholders to develop monetizable data and analytics products.

* Ensure compliance, governance, privacy, and security standards.

* Planning, directing, and controlling multiple teams of resources and initiatives to accomplish the objectives and requirements defined by senior technology and product management across multiple teams.

* Responsible for the planning and execution of company-wide efforts and goals and the ability to manage to budgetary constraints.

* Interfaces with key technology solution vendors; develop strategies and facilitate performance measurement plans to optimize vendors and associate performance and outcomes.

* Develops application technology plans, forecasting for an enterprise application, enterprise-wide tool, infrastructure, or a center or domain that is equivalent in scope and complexity.

* Oversee strategic planning, budget development, and management for a single large or multiple cost centers, contract compliance, and any necessary integration of government regulatory requirements.

* Ensures disaster recovery and business continuity plan are implemented, monitored, and updated on a recurring basis.

* Ensures delivery and supports system solutions that support the continuous operations.

* Identifies and resolves hurdles for assigned areas/groups according to established deadlines.

* Establishes and maintains collaborative relationships with key business partners.

* Partners with customers in order to understand new product enhancements or features being requested.

* Hires, trains, coaches, counsels, and evaluate performance of direct reports.

* Establishes and maintains collaborative relationships with key business partners.

Minimum Requirements

Requires an BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 8 years of IT management experience in the area of function being managed; or any combination of education and experience, which would provide an equivalent background.

Preferred Skills, Capabilities, and Experiences

* Eight years in data/analytics leadership primarily in healthcare is preferred.

* Proven experience building and commercializing data platforms, products, and services is preferred.

* Expertise in real-world data (claims, EHR, clinical, genomics, social determinants) is preferred.

* Strong knowledge of advanced analytics, AI/ML, and cloud platforms (AWS, GCP) is preferred.

* Familiarity with interoperability standards (FHIR, HL7, CCD, OMOP) and compliance (HIPAA) is preferred..

* Business acumen to translate data into commercial opportunities and value creation is preferred.

* Excellent leadership, communication, and executive stakeholder management is preferred.

* Ability to inspire teams, manage large-scale initiatives, and drive innovation in a complex healthcare ecosystem is preferred..

* Deep understanding of healthcare data sources and workflows, including the following is preferred:

* Clinical data: EHR/EMR, labs, imaging, clinical…