DAC-030 - C8367 NGDA Product Manager

Tender description

Who Speclialist Work With A mixed team of civil servants and suppliers of business development services which will include data scientists, data engineers, architects. There will be close working with Product Owners and subject matter experts from the business. What Specialists Work On Delivery of a number of operational trials that if successful, and provides the required level of benefits will proceed to full implementation using the analysis of data for goods and people, which is on the whole, currently a manual process. The delivery of a data analytics capability to Border Force will enhance their ability to identify targets that produce a positive result, in terms of detection and intervention Where the Work Takes Place Based in Croydon with some travel to headquarters in central London and various stakeholder teams in the UK Early Market Engagement Working Arrangements The supplier is expected supply a resource to work within an agile team. We expect the supplier to be flexible. Off site and remote working can be accommodated, however due to security considerations this would need to be discussed. Travel to regional sites to be agreed, expenses incurred from travel outside of the M25/Greater London will be subject to Home Office Travel and Subsistence Policy. Work Location Based in Croydon with some travel to headquarters in central London and various stakeholder teams in the UK Security Clearance All staff must be SC cleared. We will ask bidders for details of key personnel, if successful the bidder will be asked for confirmation of security clearance or we will initiate clearance process. Additional T&Cs CV will be requested after short-listing responses Skills & Experience Experience working with the Agile Manifesto and act as a champion for working with agility 10% Experience working on problem statements and working with a multidisciplinary team to validate the problem, refining it and narrowing its focus until it becomes feasible and valuable to solve 15% In depth knowledge of machine learning and big data, including graph databases such as Neo4J 10% Demonstrable knowledge of Data stream automation, such as NIFI with data stream processing such as Spark 10% Demonstrable experience of Probabilistic Matching, specifically IBM Big Match 10% Systems messaging technology such as Kafka 5% Data Science model building using Python 5% Nice to Haves Experience of prioritising spend based on return on investment and support to the creation/development of a business case Exposure or understanding of the Pragmatic Marketing Product Management Framework No. of Specialists to Evaluate 3 Cultural Fit Criteria Ensure an in-depth and evolving understanding of the broad range of customer requirements is embedded in the team 3% Determine and drive customer service outcomes and work across the department to ensure delivery of professional excellence and expertise to customers 2% Assessment Method Evaluation Weighting Technical competence 65% Cultural fit 5% Price 30% Questions from Suppliers Budget range £800