Experience with cloud data architectures and modern platforms (Azure/AWS; Snowflake/Databricks or ... This is a remote/WFH opportunity available to candidates currently residing within the United ...
Experience with cloud data architectures and modern platforms (Azure/AWS; Snowflake/Databricks or ... This is a remote/WFH opportunity available to candidates currently residing within the United ...
Experience with cloud data architectures and modern platforms (Azure/AWS; Snowflake/Databricks or ... This is a remote/WFH opportunity available to candidates currently residing within the United ...
Experience with cloud data architectures and modern platforms (Azure/AWS; Snowflake/Databricks or ... This is a remote/WFH opportunity available to candidates currently residing within the United ...
Sr Staff AI Architect
Raleigh, NC · On-site +1
$143K - $185K/yr
This is a remote role open in the US only. What will you do? The AI & Data Architect will define ... Experience with Databricks, Dataiku or vector databases. * Knowledge of CRM/ERP integration ...
Sr Staff AI Architect
Raleigh, NC · On-site +1
$143K - $185K/yr
This is a remote role open in the US only. What will you do? The AI & Data Architect will define ... Experience with Databricks, Dataiku or vector databases. * Knowledge of CRM/ERP integration ...
Remote Azure Databricks information
What are Remote Azure Databricks jobs?
What is the difference between Remote Azure Databricks vs Remote Data Engineer?
| Aspect | Remote Azure Databricks | Remote Data Engineer |
|---|---|---|
| Required Credentials | Azure certifications, Spark/Databricks knowledge | Data engineering certifications, SQL, cloud platform skills |
| Work Environment | Cloud-based, collaborative platform for data analytics | Data pipelines, database management, cloud environments |
| Industry Usage | Data analytics, AI, machine learning projects | Data pipeline development, ETL processes |
Remote Azure Databricks specialists focus on leveraging the Databricks platform for data analytics and machine learning, often working within cloud environments. Remote Data Engineers build and maintain data pipelines and infrastructure, frequently using cloud tools. While both roles require cloud and data skills, Azure Databricks roles are more centered on analytics and AI, whereas Data Engineers focus on data infrastructure and processing.
What are the key skills and qualifications needed to thrive as a Remote Azure Databricks professional, and why are they important?
What are some common challenges faced by Remote Azure Databricks engineers, and how can they be managed?
IQVIA rating
8.2
Based on 52 frontline employees who took The Breakroom Quiz
45th of 205 rated it services
Job description
The Associate Director of Data Analytics provides technical and people leadership to design, build, and scale data and analytics solutions that support regulatory compliance, operational performance, and strategic decision-making across healthcare and life sciences. This role owns end-to-end delivery across multiple workstreams, establishes repeatable engineering and governance standards, and partners with Product, Engineering, Sales, and client stakeholders to grow and modernize analytics capabilities.
This leader is expected to operate effectively in a matrix environment, balance competing priorities, and communicate clearly and diplomatically with senior internal and client leaders while driving measurable outcomes.
Key Responsibilities
People Leadership & Operating Model
Lead, hire, coach, and retain a high-performing team; set goals, provide feedback, and drive career development.
Establish operating rhythms and delivery governance (planning, prioritization, design reviews, release readiness, incident/defect triage) to ensure predictable execution and quality.
Drive a culture of accountability, documentation, and continuous improvement across teams and partners.
Data & Analytics Products (Build + Scale)
Own the end-to-end lifecycle of data and analytics products-from discovery through build, release, adoption, and operations-delivering reusable capabilities with measurable business impact.
Build product-grade data foundations (canonical models, curated datasets, semantic layers, governed metrics) and reference data (e.g., MDM/hierarchies) to ensure consistency and reuse.
Operationalize cloud data products (Azure/AWS) using strong engineering practices: Git, CI/CD, automated testing, documentation, and runbooks.
Deliver scalable pipelines, automations, and accelerators for compliance/regulatory reporting and operations at scale using Python, SQL and orchestration (Airflow/ADF or equivalent).
Provide governed analytics experiences (dashboards, self-service datasets, alerting) for compliance KPIs, variance analysis, and executive decisioning.
Embed healthcare-grade data trust: definitions/lineage, access controls, privacy-by-design (PHI/PII where applicable), and data quality monitoring with root-cause remediation.
Incorporate agent-enabled capabilities where they improve usability and speed-to-insight (e.g., agent-assisted Q&A, summaries/insights, guided workflows) using enterprise-supported approaches and enablement resources.
Program Delivery & Client Outcomes
Own scope, milestones, acceptance criteria, dependencies, and risk/issue management across multi-workstream initiatives to ensure on-time/on-budget outcomes.
Translate regulatory and business changes into actionable delivery plans; communicate tradeoffs, decisions needed, and mitigation plans to senior stakeholders.
Define measurable success criteria and track outcomes (e.g., reduced manual effort, improved audit readiness, increased adoption of governed data products).
Business Development & Practice Growth
Own or co-lead RFPs: solution strategy, win themes, response authoring, compliance matrices, and executive summaries; partner with BD/Sales to shape proposals.
Lead client demos/pilots/orals; contribute reusable assets and accelerators that increase speed-to-value and differentiation.
Build and maintain senior client relationships; identify expansion opportunities and translate them into scalable offerings and roadmap items.
Strategic & Innovation Leadership
Maintain the analytics/platform roadmap and architecture guardrails to drive modernization, interoperability, security, and scalability.
Evaluate and adopt emerging technologies (including AI/ML and agentic patterns) where they measurably improve delivery efficiency, insight generation, or customer outcomes.
Qualifications (Required)
Bachelor's degree in a relevant field or equivalent experience.
Proven people leadership and delivery ownership in a matrix environment.
Strong SQL + Python (or equivalent) delivering production-grade pipelines and automation.
Experience with cloud data architectures and modern platforms (Azure/AWS; Snowflake/Databricks or equivalent).
Strong stakeholder communication/presentation; calm, assertive, and diplomatic.
Business acumen: planning, prioritization, and financial awareness.
Qualifications (Preferred)
Experience leading data governance / metadata / lineage / stewardship operating models.
Healthcare/life sciences exposure where compliance/auditability are critical.
Experience delivering governed semantic models and self-service analytics.
RFP/orals and client solutioning leadership.
This is a remote/WFH opportunity available to candidates currently residing within the United States.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com
IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
The potential base pay range for this role, when annualized, is $84,400.00 - $235,300.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.About IQVIA
Sourced by ZipRecruiter
At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.
Industry
Health care and social assistance
Company size
10,000+ Employees
Headquarters location
Durham, NC, US