Sales Lead, Datatonic
Data Cloud
Data & AI consulting
Job no longer available
Data & AI consulting
101-200 employees
Job no longer available
101-200 employees
Company mission
Datatonic's mission is to help businesses organise, understand, and action their data - discovering smarter ways to work and innovative new strategies in the process.
Role
Who you are
- Experience partnering with data cloud technology (Snowflake, Google, AWS, Azure)
- Multiple years experience managing and exceeding an individual sales target in a professional services environment
- A desire to build out a team of business developers, as an IC or team leader
- A clear understanding of how large organisations make decisions & how to influence them, with a proven pedigree in helping a business deliver significant growth
- Ability to communicate and influence all levels of stakeholders across functions
- A consultative ‘listen-first’ approach and understand what motivates people & tailor your messaging accordingly
- Initiative taker, eager to break new ground & create opportunities
- Exceptional people skills, builds rapport easily
- Experience working at pace in a start up or scale up environment
What the job involves
- You will be the commercial lead for the Datatonic data cloud practice, operating like a “start up” within an established & leading cloud data consultancy
- Confidently and successful own & manage the sales target
- Source & qualify opportunities with our commercial division
- Manage relationships with key client stakeholders
- Successful closing of opportunities
- Building & managing a team of data cloud partner BDs (longer term!)
- Seek out, nurture and deepen relationships with data cloud partner sellers & tech sellers
- Work closely with our Partner team on workshops, lunch & learns and putting Datatonic on the map
- Support our Marketing team on case studies, thought leadership, events and account-based marketing campaigns
- Ability to work with Business Technology on building out the data cloud offering at Datatonic
- Your core goals are:
- Own and meet the professional services sales target for our data cloud partner
- Drive sales activity, cross-selling & find opportunities to expand this new area
- Build, maintain and deepen our client & partner relationships
- Foster collaboration and teamwork with Sales & Technical teams within our partner
- Work closely with Partnership & Marketing teams to build out the service, offerings, packages and accelerators of our data cloud partner
Salary benchmarks
Our take
Datatonic is a data consultancy that enables companies to make better business decisions with the power of Modern Data Stacks and MLOps. Its services allow clients to deepen their understanding of consumers, increase competitive advantages, and unlock operational efficiencies.
In 2021 and 2022, Datatonic has built high-performing MLOps platforms for global clients across the Telecommunications, Media, and e-Commerce sectors, enabling them to leverage MLOps best practices across their teams. Its customers include the likes of Sky, Vodafone,upd and Lush Cosmetics.
Since 2013, Datatonic has grown at a rapid rate, expanding into new markets and areas of expertise. The team consists of experts in machine learning, data science, software engineering, science and mathematics who share a passion for data and analysis and operating at the cutting edge.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- 25 days holiday (excl. bank holidays)
- Flexible & remote working
- Choice of laptop
- Pension scheme (3% employer pension, rising by extra 1% per year worked)
- Annual team bonus
- Tech scheme
- £100 home equipment allowance
- Private Healthcare
- Employee Assistance Program
- Cycle-to-Work scheme
- 50% off Gym Annual Membership
- Access to Linux Academy, Coursera, and LinkedIn Learning and a £700 Conference Budget with 4 days of attendance per year
- Regular monthly social events and team offsites
Company HQ
Canary Wharf, London, UK
Leadership
Louis Decuypere
(CEO)Previously a Marketing & Sales Analyst at P&G for 3 years and Business Intelligence Consultant at RBS for 2 years.
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