Senior Account Manager (Process Automation)

Bracknell
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Strategy Consultant, Marketing Solutions

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Scientist

Senior Data Scientist

Senior Account Manager (Process Automation)

Are you passionate about sales and eager to expand your expertise? Do you thrive on delivering exceptional customer service with a can-do attitude? If so, Honeywell is the perfect place for you to grow!

We are seeking a dynamic Senior Account Manager (Process Automation) with a technical background in Process Control, Automation, Digitization, or SaaS to become a vital part of our Honeywell Process Solutions sales team, where you will play a key role in driving business success and customer satisfaction.

This is a remote role with around 50% travel to the south of the UK.

Honeywell

Honeywell Industrial Automation enables our customers to run safer and more efficient operations. From refineries to distribution centres to retail stores, we help deliver results while improving worker safety and meeting sustainability goals such as reduced carbon emissions – by leveraging connectivity, advanced data analytics, software, robotics, sensors, process automation and asset performance management solutions.

We Enable our Customers to Enhance the Safety, Sustainability, Resilience and Productivity of their People, Plants, and Assets.

Key Responsibilities

  • Customer Relationship Management: Serve as the primary interface with customers, nurturing relationships, and understanding their business needs.

  • Business Development: Act as a business partner, establishing a strong presence and enhancing business potential.

  • Sales and Negotiation: Identify opportunities, lead the sales cycle, negotiate terms, and close deals effectively.

  • Value Proposition Articulation: Engage in new product development, articulate value propositions, and contribute to product innovation.

  • Competitor Analysis: Establish a defensible barrier to competitors by understanding customer business drivers and aligning solutions.

    Key Skills and Qualifications

  • Solution Sales Expertise: Proven experience in solution sales within Process Control, Automation, Digitization, and SaaS.

  • Business Development Experience: Demonstrated success in business development with a track record of achieving sales goals.

  • Communication and Interpersonal Skills: Strong business acumen, excellent communication, and interpersonal skills.

  • Technical Knowledge: Knowledge of DCS, MES, or APC solutions is a plus, with full training provided.

  • CRM Proficiency: Experience with CRM applications, such as SFDC, and awareness of sustainability, CO2 capture, and hydrogen developments is advantageous.

    Our Offer

  • A culture that fosters inclusion, diversity, and innovation in an international work environment

  • Market specific training and ongoing personal development.

  • Experienced leaders to support your professional development

    We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

    We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

    Join us now and be part of a global team of thinkers, innovators, dreamers, and doers who make the things that make the future

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.