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채용IQVIA

Information Advisor, Large Pharma

IQVIA

Information Advisor, Large Pharma

IQVIA

3 Locations

·

On-site

·

Full-time

·

2mo ago

보상

$111,200 - $349,000

필수 스킬

Data analytics

Business Development

Consulting

Client management

Strategic Planning

AI/ML

NLP

About the Role

As part of the Information and Analytics Advisory team, you will own the market strategy and client engagement for data and analytics services targeting pharmaceutical organizations across Commercial, R&D, and Medical Affairs. This role is pivotal in driving revenue growth, shaping offerings, and ensuring seamless collaboration with delivery teams to execute high-impact solutions. You will combine deep pharma domain expertise, consulting leadership, and business development acumen to position our firm as a trusted partner for data-driven transformation.

Key Responsibilities

Go-To-Market Strategy & Business Development

  • Define and execute the GTM strategy for pharma data and analytics services
  • Develop and maintain strong relationships with senior client stakeholders
  • Lead proposal development, solution shaping, and pricing strategies for new engagements
  • Identify emerging market trends and client needs to inform service offerings and thought leadership

Client Advisory & Strategic Leadership

  • Serve as a trusted advisor to pharmaceutical clients on data strategy, data transformation and modeling, and analytics
  • Support customers with roadmap development for enterprise data initiatives
  • Influence client decisions on investments in AI/ML, real-world evidence (RWE), and advanced analytics capabilities

Collaboration with Delivery Teams

  • Partner with delivery leaders to ensure alignment between GTM commitments and execution
  • Oversee solution design and delivery quality for strategic engagements
  • Act as escalation point for client issues and ensure successful outcomes across Commercial, R&D, and Medical projects

Practice Development & Thought Leadership

  • Shape new offerings and accelerators for pharma analytics (e.g., AI-driven insights, clinical trial optimization)
  • Share thought leadership content and represent the firm at industry conferences

Qualifications & Experience

  • Bachelor's in Data Science, Health Informatics, Life Sciences, or related field; Master's in Data Science, Health Informatics, Life Sciences, or related field (MBA/PhD a plus)
  • 10+ years in healthcare/pharma data and analytics, with at least 5 years in consulting / client facing roles
  • Proven track record of driving GTM strategies and leading large-scale data programs for global pharma clients
  • Expertise in advanced analytics (AI/ML, NLP, predictive modeling) and pharma data ecosystems
  • Strong business development skills with experience in revenue growth and client acquisition
  • Exceptional executive presence and ability to influence senior stakeholders
  • Hands-on experience with diverse healthcare and pharma datasets, including, but not limited to:
  • Claims data
    • Prescription and sales data
    • Electronic Medical Records (EMR) and lab data
    • Physician reference data

Preferred Certifications

  • CHDA, CPHIMS, or certifications in Pharma Analytics and Clinical Data

Compensation

The potential base pay range for this role, when annualized, is $111,200.00 - $349,000.00. 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

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. Everything we do is part of a journey to improve patient outcomes and population health worldwide. To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere.

Equal Opportunity

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.

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.

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IQVIA 소개

IQVIA

IQVIA

Public

IQVIA Holdings, Inc. is an American company based in Durham, North Carolina, focused on health information technology and clinical research.

10,001+

직원 수

Durham

본사 위치

$17B

기업 가치

리뷰

3.6

10개 리뷰

워라밸

3.8

보상

2.5

문화

4.0

커리어

3.2

경영진

2.8

65%

친구에게 추천

장점

Good work-life balance

Supportive team and collaborative environment

Flexible hours and good benefits

단점

Compensation below industry standards

High workload and overwhelming at times

Poor management communication and organization

연봉 정보

51개 데이터

Mid/L4

Director

Mid/L4 · CLIENT OPERATIONS LEAD

2개 리포트

$114,000

총 연봉

기본급

$91,012

주식

-

보너스

-

$114,000

$114,000

면접 경험

3개 면접

난이도

3.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 33%

부정 67%

면접 과정

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Technical Manager Interview

5

Executive/GM Interview

6

Offer

자주 나오는 질문

Behavioral/STAR

Case Study

Technical Knowledge

Past Experience

Culture Fit