Consultant.e Data Engineer responsible for end‑to‑end data stack deployment, pipeline construction, data modeling, quality assurance and client support.
Responsibilities
Deploy a modern data stack end‑to‑end for clients
Build and maintain robust data pipelines
Model data for usability (SQL, data warehouse, datamarts)
Ensure data quality, reliability and monitoring
Support business teams in data understanding and usage
As the Data Services SME, you will have a background in data governance, integration, and enterprise IT strategy to support critical government and intelligence initiatives.
Responsibilities
Develop and implement data governance strategies across enterprise systems
Lead efforts in data integration, quality assurance, and metadata management
Define and enforce policies for data access, lineage, and lifecycle management
Collaborate with cybersecurity and cloud teams to ensure secure data sharing and storage
Support development of enterprise data architectures and services frameworks
Lead the company’s commercial data initiatives and operations, ensuring data integrity, scalability, and compliance across commercial functions.
Compensation
The base compensation range for this role is $165-190K.
Responsibilities
Guides the design and ongoing optimization of scalable commercial data architecture
Translates commercial priorities into a practical data roadmap
Leads MDM initiatives, ensuring HCP, HCO, payer, and master data are accurate and governed
Partners with Sales Operations/Business Intelligence and the managed service provider to define and maintain data definitions, business rules, stewardship processes, and data-quality controls
Establishes data governance policies and compliance frameworks to maintain data integrity and security (HIPAA, GDPR)
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Analytics, Business Intelligence, or a related field
Support month-end close processes, including net sales reporting, SG&A variance analysis, monthly flash reporting, and financial dashboard updates.
Prepare monthly and quarterly financial reporting, including net sales analysis, SG&A reporting, and variance explanations for leadership.
Conduct flux analysis and ad hoc financial analysis to support executive reporting and earnings preparation.
Partner with the Business Intelligence Center of Excellence to develop and automate reporting tools and KPI dashboards related to allowances, rebates, forecasting insights, and executive reporting.
Maintain standardized financial reporting processes and documentation, including reporting calendars and key workflows.
Requirements
Bachelor’s degree in Finance, Accounting, or a related field (MBA or advanced degree preferred)
Lead and manage multiple IT projects simultaneously, from initiation to closure, ensuring adherence to project timelines, budgets, and quality standards.
Responsibilities
Define project scope, objectives, success criteria, and deliverables in partnership with business and technical stakeholders
Develop and implement project plans, including scope, goals, deliverables, resources, budget, and timelines
Identify project risks and develop mitigation strategies to minimize potential impact on project objectives
Collaborate with stakeholders to gather requirements, define project scope, and ensure alignment with business goals
Coordinate and communicate effectively with cross-functional teams, including engineering, design, marketing, and operations, to drive project progress and resolve issues
Requirements
Bachelor’s degree in computer science, information technology, or project management
Nice to have: Enterprise architectural concepts
Nice to have: Multiple work streams management
Nice to have: IT project management
Nice to have: Server and Storage technology (physical/virtual/cloud)
Lead the design and oversight of the global marketing technology stack and data platform ecosystem, acting as the technical bridge between marketing and IT.
Compensation
$167,000.00 - $270,500.00/yr
Responsibilities
Be the principal marketing architect for the marketing technology stack, actively partnering with IT to design and execute the full end-to-end (E2E) vision.
Lead the MarTech council, serving as the primary technical Subject Matter Expert (SME) in marketing for the rigorous technical evaluation of proposed vendors and marketing use cases.
Act as the primary technical interface between Marketing and IT ensuring seamless solution design, implementation, and the proactive communication of MarTech stack requirements to Engineering/IT stakeholders.
Be the marketing lead, guide and direct the solution design and development of a fully integrated MarTech ecosystem, in collaboration with IT, to enable real-time omnichannel journey orchestration and facilitate agentic automation.
Provide technical leadership and oversight to ensure successful, compliant, and efficient Customer Data Platform (CDP) development and implementation.
Requirements
Nice to have: Agile Methodologies
Nice to have: Program Management
Nice to have: Cross-functional Relationship Development
Nice to have: Change Management
Nice to have: Rapid Growth Leadership
Principal Product Manager - Business Applications AI
Lead the AI roadmap and product strategy for business applications across multiple enterprise domains, driving innovation and impact in a cybersecurity context.
Compensation
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
Responsibilities
Own and prioritize an AI-powered roadmap tailored to business applications across Sales, Licensing, Finance, Support, Customer Success, and BI & Data Analytics.
Partner with business leaders to identify bottlenecks and apply AI/Agentic workflows to streamline critical enterprise journeys.
Build and iterate on functional prototypes using AI-native tools and low-code platforms to validate AI agent interactions with enterprise APIs.
Define error budgets, accuracy guardrails, and compliance standards for AI outputs in business-critical systems.
Create and version-control Golden Sets to grade AI model performance in real-world business scenarios.
Associate Director, Data SystemsNewCelgard · Cary, US