Product Manager mfd

Team

We are seeking a versatile and skilled Product Manager for our Data Platform team responsible for overseeing the development maintenance and optimization of our data infrastructure ensuring robustness scalability and security across our platform. The ideal candidate will possess a strong background in product management coupled with handson experience in data engineering practices.

Reporting to the Head of Product for Data This role is a unique hybrid opportunity combining the responsibilities of a Product Manager with handson Data Engineering duties. Approximately 40% of the time will be dedicated to actively contributing as a Data Engineer ensuring direct involvement in the technical aspects of our data infrastructures development while the remaining focus will encompass strategic product management responsibilities.

Your Responsibilities

Product at Raisin requires a broad set of soft and hard skills. While every day is different we see the following as a useful guide as to what to expect:

• You will be the goto expert for your product and know how companylevel business results are influenced by your product.
• You will lead the iterative refinement of major customer or business product problems in your product. You express clearly their value and success criteria and you call out risks dependencies and assumptions to qualify. You exhibit accountability for outcomes not just output.
• You will define and execute the product roadmap for the Data Platform encompassing technologies such as Snowflake Looker and Managed Workflows for Apache Airflow (MWAA). You will help to illuminate the (collective best guesses for) the most valuable and feasible path for the next 12 months. You get buyin and inspire your colleagues to help realise it.
• You will author and make transparent quarterly OKRs and plans with your Engineering lead which have clear value and connection to strategy ambition and realism and seek buyin from your team and stakeholders.
• You will work excellently with your engineering colleagues. You have a grasp of the best practices of these disciplines and our implementationsthat you can usually sketch coherent highlevel solutions to product problems in various relevant software design artefacts which fundamentally stand up to critiques of your counterparts.
• You will drive the design and implementation of features and enhancements within the data infrastructure focusing on improving performance reliability and user experience.
• You will foster a team culture in which feedback is given and received willingly and continually incl. public praise and private considerate learning opportunities. For you failure is a shared outcome.
• You will establish and maintain highfunctioning communication channels between your team and all your stakeholder groups to maximise their and your effectiveness. You understand their goals jobs and pains. You bring in the right people at the right time in the right way to topics and convey complex topics simply and effectively.
• You will oversee data governance security and compliance initiatives ensuring adherence to regulatory standards and best practices.
• You will implement additional features on Data Platform using Airflow Snowflake & AWS
• You will execute proof of concepts for testing and evaluating new tools & technologies relevant to data tech stack and propose adoption wherever necessary

Your Profile

Must haves:

• 2 years of Product Management experience within datarelated domains.
• Experience leading a crossfunctional team of engineers

Nice to haves:

• Handson expertise in data engineering tools and technologies such as SQL Apache Airflow ETL processes etc.
• Strong understanding of data infrastructure components like Snowflake Looker and their integration in complex systems.
• Excellent communication and interpersonal skills ability to collaborate effectively with diverse teams.
• A proactive problemsolving approach

Important attributes for this role:

• Bachelors/Masters degree in Computer Science Engineering Data Science or related fields.
• Experience with cloudbased data solutions (AWS Azure GCP).
• Familiarity with agile methodologies and project management tools.