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Technical Consulting Manager (MDM/Data Quality)

London
£60000 - £70000 per annum + package

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TECHNICAL CONSULTING MANAGER
DATA MANAGEMENT CONSULTANCY
SOUTH WEST LONDON
£70,000 + PACKAGE

A consultancy who have their own product which helps clients with their data management are looking to bring a senior member of the team on board to get to know their product, help with pre sales and be able to get involved technically in the ETL and data work

THE COMPANY

This company own their own product which draws data together from different sources in order to consolidate it and make analytics and reporting more accurate.

THE ROLE

If you were to be successful in your application for this Technical Consulting Manager position your responsibilities would include:

  • Be able to demonstrate an strong understanding of the product to clients and potential clients in terms of functions, features and benefits and understand how it helps businesses from a MDM or Data Quality perspective and the value that can bring
  • Define and manage implementation projects
  • Gather clients requirements effectively and present in tender a realistic solution and project timeline.
  • Oversee the professional services delivery teams both in company and partners with the ability to be a resource yourself on projects if necessary
  • Ensure project work is GDPR compliant and also work with account management to identify opportunities to up-sell services.

SKILLS AND EXPERIENCE

In order for your application for the Finance Data Analyst to be successful you will need;

  • Strong SQL ability as well as a good understanding of MDM or Data Quality and it's value within organisations
  • Ideally configuration experience across CRM, ERP, Reporting or Data Warehousing
  • The ability to code in SQL or Python from scratch without having to look it up
  • Ideally some experience with pre sales work or at least up-selling services in a consulting environment/ a land and expand type model.
  • Team management is essential, having managed more junior team members previously

HOW TO APPLY

If you are interested in this Technical Consulting Manager please apply via this site.

KEYWORDS

SQL, MDM, Data Quality, Consultancy

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86792/EP
London
£60000 - £70000 per annum + package
  1. Permanent
  2. Business Intelligence

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Using Data Ethically To Guide Digital Transformation

Over the past few years, the uptick in the number of companies putting more budget behind digital transformation has been significant. However, since the start of 2020 and the outbreak of the coronavirus pandemic, this number has accelerated on an unprecedented scale. Companies have been forced to re-evaluate  their systems and services to make them more efficient, effective and financially viable in order to stay competitive in this time of crisis. These changes help to support internal operational agility and learn about customers' needs and wants to create a much more personalised customer experience.  However, despite the vast amount of good these systems can do for companies' offerings, a lot of them, such as AI and machine learning, are inherently data driven. Therefore, these systems run a high risk of breaching ethical conducts, such as privacy and security leaks or serious issues with bias, if not created, developed and managed properly.  So, what can businesses do to ensure their digital transformation efforts are implemented in the most ethical way possible? Implement ways to reduce bias From Twitter opting to show a white person in a photo instead of a black person, soap dispensers not recognising black hands and women being perpetually rejected for financial loans; digital transformation tools, such as AI, have proven over the years to be inherently biased.  Of course, a computer cannot be decisive about gender or race, this problem of inequality from computer algorithms stems from the humans behind the screen. Despite the advancements made with Diversity and Inclusion efforts across all industries, Data & Analytics is still a predominantly white and male industry. Only 22 per cent of AI specialists are women, and an even lower number represent the BAME communities. Within Google, the world’s largest technology organisation, only 2.5 per cent of its employees are black, and a similar story can be seen at Facebook and Microsoft, where only 4 per cent of employees are black.  So, where our systems are being run by a group of people who are not representative of our diverse society, it should come as no surprise that our machines and algorithms are not representative either.  For businesses looking to implement AI and machine learning into their digital transformation moving forward, it is important you do so in a way that is truly reflective of a fair society. 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This process would then restore trust between business and consumer and things would carry on as usual.  But what happens if a machine makes an error, who is accountable?  Unfortunately, it has been the case that businesses choose to implement digital transformation tools in order to avoid corporate responsibility. This attitude will only cause, potentially lethal, harm to a business's reputation.  If you choose to implement digital tools, ensure you have a valid process for accountability which creates trust between yourself and your consumers and is representative of and fair to every group in society you’re potentially addressing.  Businesses must be aware of the potential ethical risks that come with badly managed digital transformation and the effects this may have on their brands reputation. Before implementing any technology, ensure you can, and will, do so in a transparent, trustworthy, fair, representative and law-abiding way.  If you’re in the world of Data & Analytics and looking to take a step up or find the next member of your team, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.

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Last week, Peter Schroeter and Ryan Collins, head of DevSecOps at Upvest, and co-founder of RapidGroup, discussed how to keep Data secure while working flexibly.  Ryan brings to the table 12 years of experience from Server Administrator to CTO roles as well as experience as a Contractor. And as a business owner himself, he sees where the shortage falls and perhaps a way to fill the gap. Security is in the Spotlight Security is a priority for many businesses today. Avoiding negative PR has caused an internal shift in which companies take more care with their Data. There is also a Catch-22. In order to provide higher levels of security, businesses are slowing down their developers and software engineers, and taking more engineering time which in turn costs more money. Security before cost is becoming the new reality. The contradiction of deployment, project run time, and budgets are only part of the bigger picture. Compromise is key and follow these three tenets. 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