Senior Product Operations Manager, Business Analytics
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Key skills for this role
About the Role
Okta is seeking a Senior Product Operations Manager with a strong focus on data and analytics to turn raw data into meaningful business insights. The role involves building dashboards, defining KPIs, and bridging Product Operations with Data & Analytics teams.
Key Skills for This Role
Responsibilities
- Take raw product and business data and translate it into clear narratives about what is working, what isn't, and where the opportunity lies
- Build and maintain decks and dashboards that go beyond reporting numbers, telling a story and driving action
- Work with Product to define the KPIs and metrics that matter most to the business and ensure teams understand how to track them
- Identify trends, anomalies, and patterns in data and proactively surface insights to stakeholders
- Partner with the data team to establish metrics frameworks that draw a clear line between product usage and business results
- Act as the bridge between Product Operations and the Data & Analytics team, translating business questions into data requirements
- Establish shared definitions, documented metrics, and consistent standards so everyone is working from the same source of truth
- Lead the development and delivery of roadmap presentations that connect data driven insights to strategic decisions
- Proactively leverage modern AI tooling and LLMs to automate repetitive administrative tasks and streamline processes
Requirements
- 5+ years in Product Operations, Business Operations, or a data focused analytical role within enterprise SaaS
- Experience working across Product, Finance, or Go To Market teams where data was used to drive strategy
- Demonstrated ability to utilize AI platforms to build automated processes and conduct rapid data analysis
- Proficiency with dashboarding and analytics tools such as Tableau, Dovetail, Pendo, Snowflake, or similar
- Comfortable writing SQL or pulling data independently
- Strong ability to work with messy, incomplete, or ambiguous data and still draw meaningful conclusions
- Skilled at translating between technical data teams and non technical business stakeholders
- Proactive communicator
Full Job Posting
THE OPPORTUNITY
- We're seeking a Product Operations Manager with a strong focus on data and analytics to help us turn raw data into meaningful business insights.
- Reporting to the Head of Product Operations, you'll be the person who looks at what the data is telling us and connects it to what it means for the business — revenue, retention, growth, and product direction.
- This is not a pure analyst role. You'll need to understand the business deeply enough to ask the right questions of the data, and communicate the answers in a way that drives real decisions.
KEY RESPONSIBILITIES
- Take raw product and business data and translate it into clear narratives about what is working, what isn't, and where the opportunity lies.
- Build and maintain decks and dashboards that go beyond reporting numbers, telling a story and driving action.
- Work with Product to define the KPIs and metrics that matter most to the business and ensure teams understand how to track them.
- Identify trends, anomalies, and patterns in data and proactively surface insights to stakeholders before they have to ask.
- Partner with the data team to establish metrics frameworks that draw a clear line between product usage and business results such as revenue, retention, and customer growth.
- Act as the bridge between Product Operations and the Data & Analytics team, translating business questions into data requirements and translating data outputs back into business language.
- Establish shared definitions, documented metrics, and consistent standards so everyone is working from the same source of truth.
- Maintain a prioritization framework and working rhythm with the Data & Analytics team to ensure business critical needs are addressed efficiently.
- Lead the development and delivery of roadmap presentations that clearly connect data driven insights to strategic decisions.
- Proactively leverage modern AI tooling and LLMs to automate repetitive administrative tasks, design repeatable multi step workflows, and streamline processes.
QUALIFICATIONS
- 5+ years in Product Operations, Business Operations, or a data focused analytical role within enterprise SaaS.
- Experience working across Product, Finance, or Go To Market teams where data was used to drive strategy.
- Demonstrated ability to utilize AI platforms to build automated processes, conduct rapid data analysis, and refine operational workflows to reduce manual overhead.
- Proficiency with dashboarding and analytics tools such as Tableau, Dovetail, Pendo, Snowflake, or similar. Comfortable writing SQL or pulling data independently.
- Strong ability to work with messy, incomplete, or ambiguous data and still draw meaningful, defensible conclusions.
- Skilled at translating between technical data teams and non technical business stakeholders.
- Proactive communicator.
Compensation
- The annual base salary range for this position for candidates located in Canada is between CAD 124,000—CAD 171,000.
- Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave.
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