Director, Performance Management & Insight, Information Management & Data Service at IQVIA

Tokyo, Japan

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

Experience leading teams of dozens of people (People Management/Sales Management)
Direct communication and negotiation experience with business users and end users
Logical thinking ability and project management skills to accurately understand customer requirements, define requirements, and proceed with design
Experience in creating proposals and conducting proposals for clients, primarily in DWH/BI areas, and experience executing projects
Native-level Japanese / Business-level English
Desirable Experience
Basic technical knowledge necessary for coordination with clients/vendors and organization management (e.g., product knowledge of BI tools like Tableau, Dr.Sum/Motion Board, PowerBI, and design/development experience considering non-functional requirements)
Database design and development experience (e.g., PostgreSQL/Oracle/SQL Server, including SQL stored procedure development)
Experience building DWH/BI systems based on cloud platforms like AWS
Experience in DWH/BI system construction projects in the healthcare industry

Responsibilities

Lead the organizations of the three main services within the PM&I, IM&DS team: (i) Introduction and operation of client DWH/BI environments for data management and analysis; (ii) Development and operation of SaaS solutions using IQVIA data like market sales data and RWD; (iii) Reporting and custom data provision services tailored to client needs using IQVIA data
Manage the overall organization of the PM&I, IM&DS team (currently about 50 people) and lead activities to achieve sales targets in the PM&I, IM&DS domain
Strengthen collaboration with Global and expand domestic offerings
Lead the introduction of new technologies and development of true solutions tailored to the Japanese market (e.g., development of AI assistants using generative AI)
Within the first ~3 months: Deepen understanding of IQVIA PM&I and overall IQVIA offerings
3-6 months: Independently lead as a Leader
6 months-1 year: Change Management for organizational strengthening (transformation to a solution proposal-oriented organization)

Skills

DWH

Tableau

PowerBI

Dr.Sum

MotionBoard

PostgreSQL

Oracle

SQL Server

SQL

AWS

Project Management

People Management

IQVIA

Advanced analytics and clinical research services

About IQVIA

IQVIA provides advanced analytics, technology solutions, and clinical research services specifically for the life sciences industry. Their services utilize extensive data resources and technology to create connections within healthcare, allowing clients to gain insights that help speed up the development and marketing of new medical treatments. This process is facilitated by their IQVIA Connected Intelligence™ system, which offers quick and flexible insights. IQVIA stands out from competitors by focusing on patient privacy, employing various technologies to protect individual data. The company's goal is to enhance healthcare outcomes by supporting biotech, pharmaceutical, and medical device companies, as well as researchers and government agencies, in understanding diseases and advancing medical science.

Durham, North CarolinaHeadquarters

1998Year Founded

$3,526MTotal Funding

POST_IPO_EQUITYCompany Stage

Cybersecurity, Biotechnology, HealthcareIndustries

10,001+Employees

Risks

Rapid advancement of cancer vaccines may disrupt traditional clinical research models.

Proliferation of disparate technological solutions causes technology overload in clinical trials.

Generative AI technologies face challenges in adoption due to data privacy concerns.

Differentiation

IQVIA leverages advanced analytics and big data for life sciences solutions.

The company offers privacy-enhancing technologies to protect individual patient data.

IQVIA's AI Assistant provides rapid, actionable insights for healthcare and life sciences.

Upsides

Increased adoption of decentralized clinical trials enhances patient-centric study designs.

AI-driven drug discovery accelerates identification of potential drug candidates.

Expansion of telemedicine facilitates remote patient monitoring and data collection.

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