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Manager - Data Cloud Solution Consulting

Veeva Systems

Manager - Data Cloud Solution Consulting

Veeva Systems

New York - New York City

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Remote Work

Remote Work

Required Skills

Data expertise

Consultative selling

Customer engagement

Technical communication

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role:

The Manager of Solution Consulting role at Veeva is focused on driving the adoption and growth of Veeva Data Cloud through pre-sales engagement. Veeva Data Cloud is the modern data foundation for Biopharma, overcoming the limitations of fragmented systems with a complete suite of commercial data products: reference data, deep data, performance data, and access data.

This is a hybrid role that combines deep technical data expertise with a consultative, client-facing approach. You will be responsible for supporting customer engagements in pre-sales, which includes working directly with customers to build brand awareness, highlighting product points of differentiation, and guiding customer data assessments. Additionally, you will demonstrate how these products can be used to drive value for customers by discovering new patients and healthcare providers, growing top-line revenue, and increasing bottom line efficiency.

Leveraging your technical skills and industry expertise, you will also educate prospective customers as to how Compass and HCP 360 products are used to support key use cases, including how:

  1. Compass Patient provides a more complete patient journey
  2. Compass Prescriber can be leveraged for segmentation, targeting, and incentive compensation
  3. Compass National delivers more accurate forecasting, performance tracking, and competitive analysis
  4. HCP Access can be used to drive better segmentation and targeting, call planning, and field execution

This role is a key part of Data Cloud’s commercial strategy. The feedback you receive from customers in-market will be curated and shared with members of the Compass and HCP Access teams to inform product roadmap and feature releases.

If you are intellectually curious and get excited about bringing new products to market, this is a great opportunity for you.

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About Veeva Systems

Veeva Systems

Veeva Systems Inc., headquartered in Pleasanton, California, provides cloud software, data, and business consulting for the life sciences industry. Its software is used to manage data, track regulatory registrations, and oversee supply chains. The company is a public benefit corporation.

1,001-5,000

Employees

Pleasanton

Headquarters

$32B

Valuation

Reviews

3.7

5 reviews

Work Life Balance

3.0

Compensation

2.0

Culture

2.5

Career

3.0

Management

2.0

35%

Recommend to a Friend

Pros

Good team culture

Strong technical interviews

Well-structured interview process

Cons

Low compensation offers

Poor management and leadership

Toxic company culture

Salary Ranges

1,129 data points

Junior/L3

Junior/L3 · Data Steward

43 reports

$79,048

total / year

Base

$70,759

Stock

$8,288

Bonus

-

$47,911

$131,327

Interview Experience

8 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

50%

Experience

Positive 25%

Neutral 50%

Negative 25%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Assessment/Coding

4

Manager Interview

5

Team Interviews

6

Reference Check

7

Offer

Common Questions

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Case Study

Past Experience