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Data Sales Manager Jobs (NOW HIRING)

Maintain accurate and up-to-date client data, sales activities, and progress reports in CRM systems. * Represent the company at industry events and client meetings as needed. What We're Looking For:

Maintain accurate and up-to-date client data, sales activities, and progress reports in CRM systems. * Represent the company at industry events and client meetings as needed. What We're Looking For:

Sales Manager

Los Angeles, CA · On-site

$68K - $90K/yr

Sales Manager - Insurance Industry (Los Angeles) Job Overview: FIS is seeking an experienced and ... Analyze sales data to identify areas for improvement and implement corrective actions. * Prepare ...

Sales Manager

Los Angeles, CA · On-site

$68K - $90K/yr

Sales Manager - Insurance Industry (Los Angeles) Job Overview: FIS is seeking an experienced and ... Analyze sales data to identify areas for improvement and implement corrective actions. * Prepare ...

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Data Sales Manager information

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$31K

$97.1K

$172K

How much do data sales manager jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data sales manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Sales Manager, and why are they important?

To thrive as a Data Sales Manager, you need a strong background in sales, data analytics, and business development, often supported by a bachelor’s degree in business, marketing, or a related field. Familiarity with CRM platforms like Salesforce, data visualization tools, and industry certifications such as Certified Data Management Professional (CDMP) are typically required. Excellent negotiation, relationship-building, and communication skills help you connect with clients and drive deals forward. These competencies are crucial for understanding client needs, presenting data solutions effectively, and achieving sales targets in a competitive market.

How does a Data Sales Manager typically collaborate with technical teams to meet client needs?

A Data Sales Manager works closely with technical teams such as data engineers, analysts, and product specialists to ensure client requirements are clearly understood and met. This collaboration often involves translating client business needs into technical specifications, participating in solution design meetings, and coordinating deliverables throughout the sales cycle. By acting as a bridge between clients and technical experts, the Data Sales Manager helps facilitate customized data solutions, ensuring client satisfaction and successful project outcomes.

What are Data Sales Managers?

Data Sales Managers are professionals responsible for selling data products, services, or solutions to clients. They identify potential customers, develop sales strategies, and manage relationships with existing clients to meet revenue targets. Their role often involves understanding client needs, negotiating contracts, and collaborating with data analysts or product teams to deliver customized solutions. Data Sales Managers play a crucial role in helping organizations monetize their data assets and drive business growth.

What is the difference between Data Sales Manager vs Data Analyst?

AspectData Sales ManagerData Analyst
Required CredentialsBachelor's degree in Business, Marketing, or related field; experience in sales and data toolsBachelor's degree in Statistics, Data Science, or related field; proficiency in data analysis software
Work EnvironmentSales teams, client meetings, business developmentData analysis teams, reporting, data visualization
Employer & Industry UsageMarketing firms, tech companies, data service providersFinance, healthcare, tech industries, research organizations

The Data Sales Manager focuses on selling data products and services, leveraging sales skills and industry knowledge. In contrast, a Data Analyst primarily interprets data to generate insights, supporting decision-making. While both roles require data familiarity, their core functions differ: one is client-facing and sales-oriented, the other is analysis and reporting-focused.

More about Data Sales Manager jobs
What cities are hiring for Data Sales Manager jobs? Cities with the most Data Sales Manager job openings:
What are the most commonly searched types of Data Sales jobs? The most popular types of Data Sales jobs are:
What states have the most Data Sales Manager jobs? States with the most job openings for Data Sales Manager jobs include:
Infographic showing various Data Sales Manager job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Tech Sales Specialist, Buyside, Enterprise Data Sales - Bloomberg Financial Solutions

Tech Sales Specialist, Buyside, Enterprise Data Sales - Bloomberg Financial Solutions

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Tech Sales Specialist, Buyside, Enterprise Data Sales - Bloomberg Financial Solutions
Location
New York
Business Area
Sales and Client Service
Ref #
10046812
Description & Requirements
Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.
The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.
Our Team
We're Bloomberg. We sit at the heart of the financial markets, from the largest sell-side institutions right through to the two person hedge fund - we're an integral part of the financial markets workflow in every corner of the world. We provide our users with up to the millisecond market moves and analytics as well as connecting them with their counterparts and the wider community of 350,000 Bloomberg Terminal subscribers.
Our Sales teams are industry renowned for their subject matter expertise and platinum service levels. You'll have industry renowned training, not just when you join us, but continually throughout your career here. Just like we invest in our products, we invest in our people. It gives us the edge.
We're Bloomberg Enterprise Data - fast paced, innovative and expanding. We have worked hard and smart to become the $1bn business we are today. We partner closely with our clients, taking time to understand their unique businesses and individual data and technology needs. Our endless selection of datasets, covering all asset types, with multiple delivery technologies and flexible scheduling mean our clients are able to get exactly the data they need, when they need it, in the format they prefer. Without us, they simply can't operate.
We're looking for someone to join the Real-time Solution Sales team, responsible for sales of Real-Time services that include, real time data feeds, API Microservices, including flagship product like Server API (SAPI) and Bloomberg's Consolidated Market Data Feed (B-Pipe). You'll work closely with clients and prospects to gain a clear understanding of their business needs, and provide consultative solutions to build stronger relationships.
You'll have a really deep understanding of the flow of real-time market data around a financial organisation, who uses it and what for, especially within Front Office applications. You'll demonstrate how the quality, reliability and timeliness of Bloomberg content and services will help them improve processes and comply with new regulations. You'll also provide sales insight upon the benefits of leveraging our cutting edge technology to effectively deliver, organise and use data will help to streamline their supply chain, creating value and generating efficiencies.
We'll trust you to:
- Drive annual sales and revenue targets for a defined territory
- Work in collaboration with the Enterprise Data salespeople and Services Delivery Teams to identify and manage new Real-Time Solutions sales opportunities until close as well as identify and expand usage and revenue of existing real-time technology solutions within existing accounts
- Work in collaboration with the Enterprise Data Product team on trends and provide constant feedback to Product teams from sales point of view
- Build and execute on sales strategies at both account and country level, collaborating with other internal sales and account management groups as required
- Validate the client workflow and engage the appropriate sales team and technical resources where necessary
- Assist Terminal Sales and Enterprise Sales members on learning how to identify Real Time Solutions sales opportunities
- Diligently track and manage all customer interactions within the Company CRM system
- Effectively build a sales pipeline and accurately manage forecasts throughout the sales cycle
- Frequent client and prospect interaction through sales calls and onsite visits
- Maintain strong product knowledge of the full Technical Solutions suite, its integration points with other Bloomberg products and competitor/3rd party offerings, its deployment options (on site, CLOUD,...)
- Acquire knowledge of Customer technology stacks and workflows
You'll need to have:
- Ability to manage change at a fast pace
- Solution oriented mindset
- Curiosity for constant learning that transform itself into the ability to make results
- Experience in enterprise solutions selling in or to the local financial markets is highly desirable
- In depth understanding of our Customers' business and workflow for both Buy and Sell Side institutions.
- Strong track record in consultative selling
- Proven ability of accurate pipeline management from initial lead to close
- In-depth knowledge of Order Management Systems, trading workflows, and real-time data environments.
- Skilled in establishing, developing and maintain key relationships within strategic accounts, including senior client relationships at CxO levels
- Ability to work within a collaborative environment to achieve results
- Familiarity with real-time market data feeds and market data distribution platforms is desirable
- Familiarity with Network basics , Public Cloud and On-Prem integrations
If this sounds like you:
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: http://www.bloomberg.com/enterprise/
Salary Range = 185,000 - 250,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981