Sr. Product Manager - Supply Chain Management (SCM)

As the Sr. Product Manager - Supply Chain Management at Astreya Partners, you’ll be responsible for creating and developing product roadmaps, launching new SCM initiatives, and collaborating closely with various departments to enhance customer experiences. Your role will involve leading projects related to AI/ML and BI solutions within SCM, optimizing inventory tracking processes, and ensuring effective sprint management through JIRA.

To apply for the Sr. Product Manager - Supply Chain Management position at Astreya Partners, a Bachelor’s degree in Computer Science, Engineering or a related field is required, along with at least 5 years of experience in product management within supply chain contexts. Experience with data analysis tools such as SQL, Python, and visualization software like PowerBI or Tableau is highly beneficial.

Candidates applying for the Sr. Product Manager - Supply Chain Management role at Astreya Partners should have 5 years of progressively responsible experience in product management, specifically within supply chain contexts. Familiarity with tools like JIRA, Agile methodologies like SCRUM and SAFe, and data management skills involving ProgreSQL and AWS are essential.

For the Sr. Product Manager - Supply Chain Management position at Astreya Partners, important technical skills include expertise in data analysis and visualization, SQL, Python, and project management tools such as JIRA. Additionally, familiarity with methodologies like Kanban and SAFe, and experience using database management systems like Oracle and Snowflake will be an asset.

The Sr. Product Manager - Supply Chain Management position at Astreya Partners allows for some telecommuting, with up to 10% of domestic or international travel. Flexibility in work arrangements will be discussed during the interview process to suit both the company’s needs and your preferences.

In product management, prioritizing tasks involves assessing the impact of each task on overall product goals. I consider factors like urgency, stakeholder feedback, and alignment with strategic objectives. I often use frameworks like the RICE scoring model to quantify the potential value of each task.

Absolutely! One challenging project involved implementing an AI-powered inventory tracking solution. The key was collaboration among teams. I facilitated meetings to align expectations, gathered input from stakeholders, and drove project milestones, ensuring we remained on track to improve operational efficiency.

I have extensive experience with JIRA for backlog management and sprint planning, alongside data visualization tools like PowerBI and Tableau for reporting. My proficiency in using agile methodologies like SCRUM and tools like Lucid chart for documentation has greatly enhanced my project management effectiveness.

I actively seek feedback from stakeholders and end users through surveys, interviews, and user testing sessions. Incorporating this feedback is crucial; I ensure that it’s documented in JIRA and addressed during sprint reviews to ensure the product meets user needs.

Data analysis is at the heart of my product management process. It provides insights into user behavior and product performance, allowing me to make data-driven decisions. I utilize SQL for querying necessary data and combine it with visualization tools to present actionable insights to the team.

Aligning product development with business goals starts with a clear understanding of the company's vision and objectives. I engage with leadership to define product KPIs and regularly evaluate them against our progress, ensuring that every feature we develop serves a strategic purpose.

Managing conflicts with stakeholders requires clear communication and active listening. I facilitate discussions to understand the underlying concerns and work collaboratively to find common ground, ensuring that all voices are heard and valued while steering toward a productive solution.

My experience with AI and machine learning in product management involves driving projects that leverage these technologies to optimize supply chain operations. I collaborate closely with data scientists and engineers to conceptualize AI solutions, ensuring they align with user requirements and technical feasibility.

Successful sprint reviews and retrospectives hinge on preparation and open dialogue. I gather relevant metrics and feedback to showcase during reviews, and create a safe environment during retrospectives for the team to openly discuss what worked, what didn’t, and how we can improve moving forward.

My approach to understanding market needs involves conducting thorough market research, engaging with customers through surveys, and analyzing competitor products. This comprehensive analysis helps identify gaps in the market, informing our product strategy and ensuring we meet customer needs effectively.