Most Important Skills For A Director Of Product Management And Strategy At Turnitin
Kevin's role requires strong "organization, analytics, and communication skills" to synthesize data from various teams—marketing, sales, and product—for effective decision-making. This involves facilitating data accessibility, managing risk, and prioritizing product development based on return on investment to ultimately meet customer needs.
Organization, Communication, Data Analysis, Risk Management, Prioritization
Advizer Information
Name
Job Title
Company
Undergrad
Grad Programs
Majors
Industries
Job Functions
Traits
Kevin Tsay
Director, Program Management & Product Strategy Operations
Turnitin
Washington University in St. Louis, 2007
Duke University Sanford School of Public Policy, MPP
Education
Technology
Operations and Project Management
LGBTQ
Video Highlights
1. Strong organizational skills are crucial for managing multiple teams and projects effectively.
2. Excellent communication skills are needed to convey information clearly across teams and facilitate decision-making.
3. Analytical skills and data interpretation are essential for making informed decisions and prioritizing projects based on ROI and customer needs.
Transcript
What skills are most important for a job like yours?
The most important schools are organization, analytics, and communication. This means being able to work across teams, understand their needs, and help organize information accessibly. This helps people understand what other teams are doing.
This allows key decisions that affect all teams to be made. My team and I constantly consider what tools we are using, how people update their decisions, and how those are communicated to other teams.
We try to help organize these processes and the mechanisms other teams use to disseminate information. The underlying data that informs some decisions is also key to this.
Different functional groups have specific data needs. Marketing wants marketing data, sales wants sales data, and product wants product usage data. A product manager might want all of this information to gauge their product's success throughout its lifecycle.
My team helps gather a lot of that data. This way, decisions informed by product-specific or non-product-specific data are organized and support communication towards those decisions.
Organization and communication, surrounding analytics, are crucial. However, risk management and prioritization are also huge components. We have many different products and priorities for their development.
Understanding the return on investment for decisions about product improvement relies on the data behind those products. This data helps decision-makers argue why their products are worth investment to meet customer needs.