Must have

• English (C1)

Requirements description

• Master's degree in computer science, business, management or similar
• 10+ years' working experience, ideally in an agile environment leading projects and teams in product supply domain
• Good knowledge of Data visualization tools (Tableau, Power BI)
• High analytical drive and demonstrated ability to achieve stretch goals in a fast-paced environment
• Strong communication and collaboration skills
• Excellent problem-solving and analysis skills, combined with impeccable business judgement
• Ability to evolve product strategy based on research, data and industry trends
• Ability to communicate and influence effectively by presenting data in a compelling way
• Fluent in English, both written and spoken

Offer description

We are seeking a highly skilled Lead Product Manager to join our Digital Hub in Warsaw.

Are you ready to make a significant impact in the digital transformation of Bayer Consumer Health Product Supply (PS)?

You will lead & co create the vision & strategy for the PS Analytics & AI domain with partners from digital lead function, business sponsors and engineering team with data scientists, architects, analysts and engineers.

You will be responsible for the overall success of PS Analytics & AI products throughout its lifecycle where analytics & AI can be used to differentiate our offering and add value to our customers from conception to decommissioning.

If you are interested in joining a diverse and dynamic team driving the digital transformation of Bayer Consumer Health we would like to hear from you.

The Global Product Supply Analytics team at Bayer Consumer Health exists to enable data-driven decisions that result in the best experiences for our customers. You will be part of the Data Assets, Analytics & AI organization and will have full accountability for the product supply analytical /AI products from ideation, design, delivery, adoption, and support within your business line.

Your responsibilities

1. Define, develop and execute analytical/AI products strategy, features and criteria for evaluating vendors/partners to make ongoing buy/build or partner decisions
2. Design the product supply analytical/AI vision while gathering and prioritizing requirements and partner with cross functional stakeholders all the way up to senior leadership to drive flawless implementation of your vision
3. Lead and manage an internal & external team that designs and implements new analytical / AI products in an agile fashion
4. Orchestrate analytical / AI product launches and release including training for internal users
5. Align with data assets, analytics & AI strategy by producing and contributing to building internal data assets
6. Ensure all products have considered business value/outcomes, usability, viability and feasibility

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