Level

LSEG

Sales Manager - Data & Feeds

LSEG is hiring a Sales Manager - Data & Feeds in Beijing, China. Level rates it ; you can apply on LSEG.

Level's read on this job

  • Little AI ●○○○ is how Level rates this sales role: aI is not part of the work.
  • Level classes it as a senior role.
  • LSEG has 653 other open roles on Level.
  • Posted in the last few days.

AI in this role

North APAC Sales Manager – D&F Sell Side

 

Position Summary

This is an exciting position for a senior sales manager to lead North APAC for Data & Feeds sell-side clients. The role will be responsible for managing a team of sales specialists to achieve and beat the regional sales target, with a focus on clients across Greater China, Korea and Japan.

The business line addresses the needs of sell-side institutions across the financial sector, including banks, brokers, securities firms and other market participants. The broader Data & Feeds product suite includes real-time and reference data, pricing, fundamentals, analytics, APIs, delivery platforms and other data solutions that support front-office, trading, risk and client-facing workflows.

The major focus of this role is proactively winning new revenue - to both existing and new sell-side client accounts. The candidate is expected to be hands-on - personally getting involved in deals, meeting clients, networking across North APAC and actively participating in marketing events. Mandarin Chinese language capability is required given the regional client focus.

The individual will be additionally responsible for the strategic and operational leadership of the business – creating and executing sales strategies, providing forecasts and business updates to internal stakeholders, as well as collaborating with other client facing, product and marketing leaders.

 

Role Responsibilities

  • Achieve and beat the sales target for Data & Feeds sell-side business in North APAC.
  • Manage the sales team across the region, including hiring, onboarding, training, and sales operations.
  • Create, communicate, and execute sales strategies.
  • Collaborate with other sales, account management and product leaders.
  • Actively contribute to client engagements and help open and close deals.

  • Be the SME on the Data & Feeds sell-side business – both the products and the addressable market across North APAC.

 

Desired skills and experience

  • 3-5 years leading a sales team in a data, feeds, market data or financial technology business addressing the financial sector.
  • 10+ years’ experience in a client facing role, with direct sales experience a strong plus.
  • Deep knowledge of data, feeds, market data solutions and front-office workflows for sell-side institutions.
  • Strong written and verbal communication skills; Mandarin Chinese language capability required.
  • Experience coordinating with various business functions to ‘own’ the growth of a business.
  • Experience within or selling to sell-side institutions highly desirable.
  • Client facing experience in North APAC markets, particularly Greater China, Korea, a strong plus.

Career Stage:

Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

How we rate this

Sales Manager - Data & Feeds at LSEG rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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