Senior Managed Network Services Client Partner

NTT DATA
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Data Science Manager

Informatics Data Scientist

UNPAID VOLUNTEER - Principal/Senior Technology Officer (Artificial Intelligence)

Head of Internal Audit

Job Description

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Your day at NTT DATA

The Senior Networking Client Partner is an advanced subject matter expert and is also a quota-bearing sales persona. This role has the primary responsibility to work with services teams to identify, develop, and close managed service and outsourcing deals.

This role is recognized as the client’s trusted networking managed services advisor and applies consulting led sales skills to engage and close opportunities with decision-makers.

This role works directly with clients at a variety of levels, as well as other internal sales and delivery expert teams such as Client Managers and pre-sales services-type architects and post the sale; the delivery teams that will manage the client’s outsourced solution. Deals often involve alignment on business outcome led multi-product/multi-vendor networking solutions with services.

This role ‘champions’ the delivery teams’ understanding of the client’s solution requirements, and initiates improvement programs ensuring that the client remains committed to solutions which leads to more sales opportunities.

Building and developing excellent stakeholder relationships with clients, fully understanding the client and the industry in which they operate will be a core focus of this role. The focus of this role remains on converting the client to a managed services client resulting in multi-year renewals; deals may involve a long sales cycle.

As a Senior Networking Client Partner, this role has the opportunity to partner with some of the biggest global organizations, helping them to convert to new business models.

What you'll be doing

Key Responsibilities:

Ensures the generation of demand and selling Networking Managed Services solutions -

Creates demand by assisting clients to identify and qualify current needs and effectively articulates how the company can add value through its Networking services and solutions offering. Responsible for addressing the objections that a client may pose in moving to a Networking managed services solution. Appropriately allocates and decides sales time between assigned clients and new prospect opportunities; yet ensure focus remains on the top clients/prospects and balance opportunity size with likely outcomes

Sales partnership -

The success of the services agenda and successful sales will rely on successful partnership with others; this will include regional leads and services teams to work on the best outcome for the client. Collaborates with partners and/ or vendors to drive select deals through vendor-based opportunities. Collaborates with broader organization such as the Offer Management, Commercial Architecture and Delivery teams to promote and support high-value services opportunities. Directs regional sales governance processes and Deal Clinics to profile opportunities.

Managed Services industry trusted advisor -

Responsible for building deep and long-term relationships with client leaders in a Managed Services opportunity and execute a competitive win strategy through understanding the client’s business requirements and competitive landscape. Directs the maintenance of a high level of relevant service knowledge to have meaningful conversations with clients; including the industry that the client operates in. Creates the knowledge base of organizational services solutions within a services practice by sharing best practices with internal teams as well as client teams; ensuring that internal teams are aware of typical client challenges

Deal construct -

Directs the build and supports commercial solutions for Managed Services solutions and design deals that meet client’s needs and ensure win/win solutions for both client and the company. Responsible for constructing the managed services deal including the commercial modelling, negotiate contractual terms, mitigate legal risk and obstacles, and move the proposal to close to meet assigned quota.

Drives the sales process -

Accountable for managing a pipeline of opportunities and creating and documenting a shared strategy to meet sales target such as net new customer pursuit plans to land new logos, activities to achieve client satisfaction, minimize churn, cross-sell, upsell, revenue, and margin goals. Works across multiple sales teams and commercial architects to successfully position the service and see the opportunity through to closure. Works across multiple internal teams to ensure scope of work and proposals are tracked, managed and delivered on time. Creates and consults on the implementation of an opportunity plan, to provide regular check-ins with the primary point of contact and have an established process for getting buy-in from all stakeholders. Responsible for ensuring data is accurate based on sales reporting standards to provide data-driven insights. Consults on the negotiation of deals with clients and lead the internal account management team to enable conclusion of services deals. Consults on the knowledge base of organizational solutions and services by sharing best practices, industry and technology trends with internal stakeholders and clients. Participates in regional reporting cadence as it relates to regional performance and major deal reviews.


Knowledge and Attributes:

Advanced understanding of and the ability to position the company’s services offerings that may span multiple technology domains across Managed Services, Support Services, Consulting Services and Technical Services. Advanced understanding of platform delivered services and how to articulate the value of standardized, centralized and optimized services. Strong knowledge of network security principles and products. Advanced understanding of broader IT infrastructure components, such as servers, storage, virtualization, and data centers. Conversant with a business outcome led approach to sales. Advanced familiarity with document management platforms. Advanced understanding of financial statements and metrics, including revenue, expense control, and growth relative to market in order to hold strategic client conversations. Have the legal knowledge to discuss contracting with the client and understand how to position terms as a value exchange. Advanced client-centricity coupled with problem solving. Advanced business acumen and negotiation skills to craft solutions that are beneficial to the organization and the client. Ability to pro-actively and independently identify and qualify opportunities, an entrepreneurial mindset if key. Natural team player – ability to coordinate and liaise with delivery teams across multiple business areas. Quick learner to understand any new solutions that are ready to take to market.


Academic Qualifications and Certifications:

Bachelor's degree or equivalent in a Technical or Sales field or related. Solution Selling/SPIN certifications is desired.


Required Experience:

Advanced demonstrated track record of managed services solutions to large enterprise accounts. Advanced demonstrated experience structuring large, multi-year profitable contracts. Advanced demonstrated ability of building strong relationships with clients across all levels; but especially the C-suite. Advanced demonstrated experience of networking with senior internal and external people in the specialist area of expertise. Advanced demonstrated experience in managing the entire sales process, contracting process and legal implications of a deal.

Workplace type:

Hybrid Working

About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Apply Apply Back to search results

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.