Senior Product Manager at Microsoft

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Business Intelligence, Data Analysis, AI Technologies, Data Pipelines, Dashboard Design, Cost Saving, Metrics Improvement, Market Disruption, Collaboration, Self-Service Tools, Growth Mindset, Telemetries, Investigations, Accountability Framework, Strategic Leadership

Industry

Software Development

Description

Collaborate: Develop an accountability framework and manage dependencies across a wide array of individuals in partner teams to deliver actionable insights into key business priorities. Innovate: Establish business intelligence tools and analysis that help identify opportunities and manage regular rhythm of business forums to push for actionable insights for leaders. Drive innovations in the way we think about data across the org using traditional BI & modern AI technologies. Create: Guide engineering build telemetry and data pipelines required to generate metrics you identify and design dashboards that allow everyone in the org to view and explore data through self-service tools. Build a “data analysis practice” with both full- and self-service models for investigations, and a regular engagement rhythm to empower the entire organization with data-driven decisions. Act as a critical bridge in the team to understand both sides of offerings and investments - value and costs. Be a single point of contact strategic leader to define the cost saving opportunities to improve gross margin across the ODSP product offerings & infrastructure. Work with data at massive scale. Be a self-starter, learn quickly with a growth mindset and ability to deal with a lot of ambiguity. Collaborate: Develop an accountability framework and manage dependencies across a wide array of individuals in partner teams to deliver actionable insights into key business priorities. Innovate: Establish business intelligence tools and analysis that help identify opportunities and manage regular rhythm of business forums to push for actionable insights for leaders. Drive innovations in the way we think about data across the org using traditional BI & modern AI technologies. Create: Guide engineering build telemetry and data pipelines required to generate metrics you identify and design dashboards that allow everyone in the org to view and explore data through self-service tools. Build a “data analysis practice” with both full- and self-service models for investigations, and a regular engagement rhythm to empower the entire organization with data-driven decisions. Act as a critical bridge in the team to understand both sides of offerings and investments - value and costs. Be a single point of contact strategic leader to define the cost saving opportunities to improve gross margin across the ODSP product offerings & infrastructure. Work with data at massive scale. Be a self-starter, learn quickly with a growth mindset and ability to deal with a lot of ambiguity. Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience. Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience. 2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework). 4+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn). 4+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).

Responsibilities

The Senior Product Manager will develop an accountability framework and manage dependencies to deliver actionable insights into key business priorities. They will also guide engineering in building telemetry and data pipelines, and create dashboards for data exploration across the organization.