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Engagement Manager

As Google Cloud's premier partner in AI, we provide world-class businesses with cutting-edge data solutions in the cloud. We help clients take leading technology to the limits by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies.

We are currently in the process of building a world-class Strategy and Engagement team. This team will draw out and advise on the strategic interests of a fast-growing start-up, as well as oversee the development and implementation of data science, data analytics and data engineering projects to achieve tangible business impact.

THE ROLE

As an Engagement Manager, you will work with team members of Strategy & Engagement to coordinate and oversee work streams within AI Impact and Cloud Engineering engagements. You will dedicate efforts to fully grasp the business requirements given the client’s context and market trends, translate these findings to the technical team and communicate results to the relevant stakeholders.

Your responsibilities will include:

  • Work within the Strategy team and collaborate with our Data Scientists, ML Engineers, Data Engineers and BI Analysts to ensure client engagements capture full business value
  • Progressively influence and manage client relationships, in order to achieve buy-in of methods and results as well as foster long-term relationships
  • Present and communicate project developments and solutions to relevant client stakeholders
  • Own and drive work streams related to company strategy and guidance to business development
  • Analyse and interpret data and information from several sources to support clients in decision making and unlocking the value in data
  • Progressively manage project development and timelines to ensure deliverables are done on time and achieve excellence

Requirements

  • Previous work experience in consulting within a technical / data-driven environment is essential
  • Bachelor’s or Master’s degree in (preferably but not necessarily) Business, Economics or STEM
  • Robust problem-solving as well as verbal, written and presentation skills
  • Entrepreneurial drive and ownership
  • Proven leadership skills in order to collaborate and work within a multi-disciplinary team
  • Ability to learn quickly, prioritize tasks and perform under pressure
  • Curiosity and willingness to learn about the intersection of business strategy and data technologies

Benefits

The Basics: 25 days holiday in addition to bank holidays, choice of laptop, pension scheme (rises by an extra 1% per year of service), team bonus payable annually, tech scheme, home equipment allowance


Health & Wellbeing:
Private Healthcare Insurance, Discounted Gym Membership, Cycle to Work and Tech Scheme

Learning: Datatonic encourages continuous learning at all levels with a generous conference budget, freedom to explore the latest tools and technologies as well as regular knowledge-sharing activities. You will get access to Linux Academy, Coursera, and LinkedIn Learning and a £700 Conference Budget

Career Development: A personalised development plan to ensure you hit your professional goals with a clear roadmap for progression

Impact: The opportunity to work on cutting-edge AI and ML solutions spanning multiple industries and with market-leading organisations

Innovation: Access to Datatonic LABs, our Research & Development hub. Experiment and bring forward ideas, create impactful and meaningful work in a creative and collaborative environment - even just for fun!

Office Environment: A modern office set in the innovation hub of Canary Wharf with complimentary fruit, cookies, tea/coffee throughout the day as well as a shared café and working space with panoramic views of London

Team Vibe & Social: A welcoming and friendly team plus regular monthly social events and team offsites including Tasty Tuesdays (paid lunch) and Thirsty Thursdays (team drinks).


WORKING FOR DATATONIC

Our UK headquarters is based in a tech-centric environment in the centre of Canary Wharf. We also have offices in Stockholm, Geneva, Munich, and Barcelona, and we work with clients in many other European countries. We allow for flexible working hours and the possibility of remote work.

We’re an eclectic team with lots of different interests and personalities. We have many different roles across data science, engineering, analytics, consulting, marketing, business development, and operations. As a company, we have a strong emphasis on learning and professional development. Our core values are:

Cultivating Excellence

A hub for continuous learning, curiosity, developing ideas, testing things out - and then putting ‘excellence’ into practice.

Owning It

Working collaboratively in cross-functional teams to achieve customer delight. We love what we do and draw immense satisfaction from taking responsibility and seeing the results of our work.

Purposeful Impact

Creating positive change for our customers, using the most relevant machine learning and analytics approaches and the best technologies to meet real business needs.

Winning with Partners & Friends

Our business has been built on great partnerships and open-source collaboration. It’s one thing to be successful, but to do it in partnership with great people and other great companies is even better in our opinion.

Datatonic is committed to being an equal opportunities employer. Diversity, equity and inclusion are a key part of our values and central to our overall mission of recruiting, retaining and promoting a diverse mix of colleagues. We encourage applications from all backgrounds, abilities and communities. If you require any accommodations or adjustments to our interview process, please reach out to jobs@datatonic.com and we will do our best to assist you.

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CEO of Datatonic
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Louis Decuypere
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What sets us apart: + Our Drive: We're a breeding ground for continuous learning, curiosity and testing. As a thought leader in rapidly evolving fields, such as MLOps, Machine Learning Engineering, Analytics Engineering, and Computer Vision (to ...

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DATE POSTED
August 15, 2022

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