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Technical Program Product Manager III

Job ID: 25-07024
Pay rate range - - $95/hr. to $100/hr. Bill rate
Onsite


Job Description:

Senior Product Manager – Technical, Fleet and Packaging Marketing Measurement and Analytics

Job Summary

Key job responsibilities
You are responsible for charting the course for the Fleet and Packaging measurement models and operational analytics toolkit, setting the roadmap priorities, defining the feature requirements for what we measure.
You will 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 current set up to scope product expansion to other markets. 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.
You work with your tech team to create the analytics dashboards and monitoring tools to understand operational efficiency and impact of the program. You will work with your cross-functional teams to evolve your ideas and bring them to life, making all the tough tradeoffs along the way. Solving big, ambiguous problems gets you up the in the morning. Your core partners say you are the one who brings it all together and makes it happen. You're known for your high judgment, negotiation skills, ability to influence, deep understanding of the tech & the science, and ability to lead.

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 and scoping product expansion.
2. Roadmap: You define and steward the 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.

About the team
As part of the global media and fixed marketing organization, we sit at the intersection of Client's biggest brand and retail marketing initiatives.
Our mission is to make customers lives easier and better every day by inventing relentlessly across our systems and approach.
We invest in campaigns that are contextually aware, creatively breakthrough, and measurably effective to strengthen the brand, grow the business, and reduce cost for Client overall.

Basic qualifications (BQs)
• 5+ years of product or program management or product marketing, business development or technology experience
• Bachelor's degree
• Experience with feature delivery and tradeoffs 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 prioritization and planning

Preferred qualifications (PQs)
• Experience in using analytical tools, such as Tableau and QuickSight
• Experience in building and driving the adoption of new tools
• Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision-making
• Experience with machine learning to support model automation
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