Awarded to MASS Consultants Ltd

Start date: Friday 15 April 2022
Value: £81,000
Company size: SME
East Midlands Special Operations Unit

CONT0089 EMSOU Data Architect Reissued

8 Incomplete applications

8 SME, 0 large

6 Completed applications

5 SME, 1 large

Important dates

Published
Friday 28 January 2022
Deadline for asking questions
Tuesday 1 February 2022 at 11:59pm GMT
Closing date for applications
Friday 4 February 2022 at 11:59pm GMT

Overview

Specialist role
Data architect
Off-payroll (IR35) determination
Contracted out service: the off-payroll rules do not apply
Summary of the work
We are looking for someone to understand our current and future data requirements and deliver a Target Data Architecture proposal that defines how to process all our data to enable us to deliver products and services, including advanced data analytics in the line with the National Policing Digital Strategy.
Latest start date
Friday 15 April 2022
Expected contract length
3 months
Location
East Midlands
Organisation the work is for
East Midlands Special Operations Unit
Maximum day rate
Max daily rate of £1000. Looking for 70-90 days approximately.

About the work

Early market engagement
Who the specialist will work with
EMSOU is one of the largest collaborative units in the country, delivering specialist capabilities on behalf of the five East Midlands police forces (Derbyshire, Leicestershire, Lincolnshire, Northamptonshire and Nottinghamshire). You will be working with the Digital, Data, and Technology Lead on this project.
What the specialist will work on
EMSOU is looking for a Data Architecture Consultant to work with the organisation in understanding and defining the right data architecture for our requirements, and create a roadmap to achieving our ambitions of being a data driven organisation. . EMSOU has a number of operational and strategic requirements that require carefully planned data consolidation and validation in line with legislative and governance necessities.

Work setup

Address where the work will take place
Location in East Midlands to be confirmed.
Working arrangements
To be agreed
Security clearance
Vetting is required at SC and NPPV3

Additional information

Additional terms and conditions

Skills and experience

Buyers will use the essential and nice-to-have skills and experience to help them evaluate suppliers’ technical competence.

Essential skills and experience
  • Experience of planning and delivering Agile at Scale and Business Change Programmes.
  • Evidence an ability to work closely with specialists in IT departments and with partners to deliver data architecture infrastructure, tools and solutions.
  • To provide a technical and infrastructure expert view for procurement decisions and to influence decisions based on best practise and current industry thinking.
  • Experience and understanding of the practical implementation of data security, access control and data protection principles and legislation, including DPA, CPIA, MoPI, ISO standards, and cloud security principles.
  • Broad experience of different Data Store and Data Processing technologies for scalable infrastructure and autonomous data integration using CI/CD tools.
  • Experience in documenting design decisions, principles and data relationships/models.
  • Experience in performing analysis, design & delivery for data management and data driven projects
  • Experience working in a law enforcement, government, or other secure environments.
  • The data architect must sign our conidentiality agreement.
  • The data architect must already be vetted to NPPV3 / SC/ MV and provide evidence of this
Nice-to-have skills and experience
  • Experience in the requirements elicitation process with various departments across a complex organisation in order to create a data architecture strategy that is aligned to business objectives
  • The recommended data solution must be cloud compatible or a hybrid solution. Cloud solution development experience would be beneficial to assist in identifying the best cloud-based service for the project.
  • A comprehensive understanding of data warehousing and data transformation (ETL) processes and the supporting technologies (such as Amazon Glue, EMR, Azure Data Factory, Data Lakes).
  • Experience implementing data solutions, in code languages such as Azure RM Templates, CloudFormation Templates, (json/YAML), PowerShell, Python, R.

How suppliers will be evaluated

All suppliers will be asked to provide a work history.

How many specialists to evaluate
3
Cultural fit criteria
  • Excellent communication skills (both written and verbal), conveying technical concepts to both technical and non-technical audiences.
  • Ability to work in a multi-disciplinary team, including Business Analysts, Solutions Architects, Data Scientists and subject matter experts, or work alone as required to deliver effective solutions.
  • Evidence an ability to work independently and manage competing demands with minimal supervision.
  • Advanced documentation and presentation skills, team player with proven collaboration skills, strategic, critical thinking, and problem-solving skills.
Additional assessment methods
  • Interview
  • Presentation
Evaluation weighting

Technical competence

60%

Cultural fit

10%

Price

30%

Questions asked by suppliers

1. Is there any incumbent?
No
2. How are the responses going to be scored?
We will score all the questions 0 to4. 0 - Not met, 1 -Partially met, 2 - Met, 3 - Exceeded. For the mandatory questions if you score 0 or 1 for any requirement you will be disqualified. In the last tender we didn't get the cultural fit responses, so we will ask the shortlisted tenderers to answer these in the presentation (if needed). Once the price, mandatory, desirable and cultural fit scores are added and weighted, the tender with the highest weighted score will be our preferred tender and we will seek approval and confirm the award.
3. Date of Shortlisted Presentations
Please make yourself available on Friday 18th February from 1 to 4pm, in case you are shortlisted to give a presentation. The presentation will be no longer than 25 minutes with 25 minutes (if needed) for questions. You will be notified if you are shortlisted after 10th February.