Senior Technical Product Manager

Role: Product Manager
Expected duration: 7 Months (May extend)
Location: London (Hybrid working) 3 days in office & 2 WFH
Pay rate: £245 to £375 per day (PAYE) + Holiday pay (Equivalent to £64,000 – £97,500 per annum)
Start: Immediate

Job summary
Our client is a global tech and logistics leader. Their Worldwide Cross Channel, Cross Category Marketing team is looking for a talented Senior Product Manager – Tech to lead the measurement and operational data/analytics set up for their UK Fleet media channel and expansion scoping for EU. You will work cross-functionally and closely with science, engineering, product, operations, and marketing teams to build best-in-class measurement models and analytics capabilities that help the business understand the efficacy of marketing on UK vans, as well as monitor operational performance and impact.
As part of the global media and fixed marketing organisation, the team sits at the intersection of the company’s biggest brand and retail marketing initiatives. Their mission is to make customers lives easier and better every day by inventing relentlessly across their systems and approach. They invest in campaigns that are contextually aware, creatively breakthrough, and measurably effective to strengthen the brand, grow the business, and reduce overall cost.
If you are obsessed with dissecting business problems into digestible, technical solutions and enjoy working with technical peers to deliver business impact, this may be the role for you.

Key job responsibilities

• Charting the course for the UK Fleet measurement models and operational analytics toolkit, setting the roadmap priorities, defining the feature requirements for what we measure.
• Partner with your product, operations, engineering, and science teams to translate business needs into a logical measurement design that balances data processing effort, operational excellence, and driving customer insights about which marketing and creative approaches work best.
• You will apply your learning from the UK set up to scope product expansion to other EU markets.
• Work with your tech team to create the analytics dashboards and monitoring tools to understand operational efficiency and impact of the program.
• Work with your cross-functional teams to evolve your ideas and bring them to life, making all the tough trade-offs along the way.

A day in the life
Your product management practices set a great example to others, successfully leading all stages of the product lifecycle from concept to delivery:
1. Vision/Strategy: You own the strategic measurement vision and scoping for bringing measurement and analytics tools to life for the UK and scoping product expansion into EU.
2. Roadmap: You define and steward the UK and EU measurement and analytics roadmap, making crisp decisions about what projects move forward and in what priority order.
3. Execution: You love partnering with scientists and engineers to develop new models and analytic capabilities. You own it end-to-end, from ideation to requirements to launch.
4. Technical Skill: You understand the architecture of the systems and technologies behind your measurement products. You are able to influence technical priorities and business strategy through data-driven contributions.
5. Communication: You communicate ideas effectively, both verbally and in writing, to all types of audiences.
Requirements

• 5+ years of product or program management or product marketing, business development or technology experience
• Bachelor’s degree
• Experience with feature delivery and trade-offs of a product
• Experience owning/driving roadmap strategy and definition
• Experience with end-to-end product delivery
• Experience contributing to engineering discussions around technology decisions and strategy related to a product
• Experience managing technical products or online services
• Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritisation and planning

Preferred qualifications

• Experience in using analytical tools, such as Tableau and Quick Sight
• Experience in building and driving adoption of new tools
• Experience with concepts such as system architecture, optimisation, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making
• Experience with machine learning to support model automation