We’re looking for someone who possesses a data analytics background, familiar with maintaining large data sets, building the datasets needed for analyzing information, identifying key business insights, and working with stakeholders in generating the right metrics to define and measure success. In this role, you will be a technical expert with significant scope and impact. As a Senior Product Manager - Technical (PMT) within the Specialized Analytics Team, you will work with Sales Operation Leaders, data analytics experts, and other business users to understand business needs and design analytical and reporting solutions. You’ll develop product plans that have clear, measurable success criteria and define mechanisms and metrics that enable you to quickly explain your product’s adoption, performance, and variance against goals. You define the problem(s) you are trying to solve, desired customer experience, and technology-specific needs.
Candidates must have the ability to earn trust and communicate effectively across multiple technical and non-technical business units in a global organization. They should possess a keen sense of ownership, collaboration, and desire to learn. They should be familiar with owning the development, delivery, and roadmap of major technology products. They should have experience contributing to strategic planning narratives and goals and engineering organization roadmaps. They deliver the right analytical solutions independently, with limited guidance.
Key job responsibilities
* Manage the portfolio management approach for 50+ production dashboards used by over 6,000 users globally. Ensure that these dashboards meet business needs and drive strategic decision-making across the organization.
* Manage the team goals reporting function, set strategic direction, and exercise discretion over cross-organization products and processes to support this function. Oversee execution across teams.
* Develop mechanisms and products to accelerate organization-wide decision-making for Specialists. Define key performance indicators (KPIs), set success metrics, and oversee the lifecycle management of these mechanisms and products.
* Own and manage prioritization of major strategic initiatives related to the development and delivery of critical data products. Make high-impact decisions on product roadmaps that drive best-in-class user experience and organizational success.
* Translate customer needs into clear requirements, expressed through narratives and business requirement documents.
* Specify technical requirements, effectively reduce technical debt through roadmap prioritization, and contribute to engineering discussions around technology decisions and strategy related to technical products.
* Scale products across 20+ analytics team members to improve team productivity.
* Function at a senior level within the organization and influence multiple teams to align to a common product vision.
About the team
The SIT team’s charter is to provide strategic expertise and scale support across AWS Sales, Marketing, and Global Services where we are experts and best suited to do so. We do this by providing analytics thought leadership, curating standard cross-organization data products including tables, datasets, and dashboards, and managing a portfolio of tools and mechanisms that accelerate the work and development of the WW Specialist Organization.
BASIC QUALIFICATIONS
- 5+ years of technical product or program management, product marketing, business development or technology
- 5+ years of SQL experience
- Experience with AWS technologies, data visualization, and data modeling
- Ability to distill clear requirements from large and diverse sets of inputs to develop roadmap strategy and definition
- Interpersonal and communication skills, both written and verbal. Experience working with technical engineering, analytics, and non-technical stakeholders across multiple teams. Demonstrated ability to work effectively across internal organizations.
PREFERRED QUALIFICATIONS
- Experience with sales operations and/or sales organization metrics
- MBA or Master’s degree in statistics, information science, data science, or an equivalent field
- Experience in scripting for automation (e.g. Python)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.