Job Description
As a Product Manager in Marketing Data Platforms, you play a crucial role in innovating new product offerings and managing the endtoend product life cycle. Your responsibilities include developing a product strategy and vision, conducting market research to uncover customer solutions, and maintaining a product backlog that supports the overall strategic roadmap. You will also track key success metrics, identify opportunities for modern technologies, and translate business needs into technically informed requirements for the engineering team. Additionally, you will collaborate with crossfunctional teams to deliver highquality products that exceed customer expectations.
- *Key Responsibilities:**
- Develop a product strategy and product vision that delivers value to customers
- Manage discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
- Own, maintain, and develop a product backlog that enables development to support the overall strategic roadmap and value proposition
- Build the framework and track the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
- Identify opportunities across all CCB LOBs for modern technologies, such as agentic AI, to help optimize marketing outcomes
- Apply handson data analysis skills, leveraging tools like SQL, Alteryx, Tableau, and Excel to explore data, troubleshoot issues, and validate data integrity
- Build datadriven proofofconcepts to test hypotheses and inform product development decisions
- Translate business needs into clear, concise, and technically informed requirements for epics and user stories to be consumed by an engineering team
- Partner with marketing analytics, growth teams, and other stakeholders to understand their data needs and ensure the data solution(s) enable their objectives
- Manage relationships and technical interactions with thirdparty vendors
- *Qualification Required:**
- 5+ years of experience or equivalent expertise in product management or a relevant domain area
- Advanced knowledge of the product development life cycle, design, and data analytics
- Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
- Demonstrated strong proficiency in SQL for complex data querying, analysis, and validation
- Handson experience with data manipulation and transformation tools such as Alteryx, Tableau Prep, or Dataiku
- Experience utilizing data visualization tools like Tableau and spreadsheet software like Excel
- Experience in translating complex data requirements and business needs into actionable product specifications and user stories
- Strong analytical, problemsolving, and critical thinking skills with a datadriven mindset
This job requires a deep understanding of product management, data analytics, and customer value creation. If you are passionate about driving innovation, exceeding customer expectations, and collaborating with crossfunctional teams, this role could be an excellent fit for you. As a Product Manager in Marketing Data Platforms, you play a crucial role in innovating new product offerings and managing the endtoend product life cycle. Your responsibilities include developing a product strategy and vision, conducting market research to uncover customer solutions, and maintaining a product backlog that supports the overall strategic roadmap. You will also track key success metrics, identify opportunities for modern technologies, and translate business needs into technically informed requirements for the engineering team. Additionally, you will collaborate with crossfunctional teams to deliver highquality products that exceed customer expectations.
- *Key Responsibilities:**
- Develop a product strategy and product vision that delivers value to customers
- Manage discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
- Own, maintain, and develop a product backlog that enables development to support the overall strategic roadmap and value proposition
- Build the framework and track the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
- Identify opportunities across all CCB LOBs for modern technologies, such as agentic AI, to help optimize marketing outcomes
- Apply handson data analysis skills, leveraging tools like SQL, Alteryx, Tableau, and Excel to explore data, troubleshoot issues, and validate data integrity
- Build datadriven proofofconcepts to test hypotheses and inform product development decisions
- Translate business needs into clear, concise, and technically informed requirements for epics and user stories to be consumed by an engineering team
- Partner with marketing analytics, growth teams, and other stakeholders to understand their data needs and ensure the data solution(s) enable their objectiv
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