AI Product Owner
2 months ago
Infosys is a global leader in next-generation digital services and consulting with annual revenues of $16.31B (FY ‘22). We enable clients in 46 countries to navigate their digital transformation
Infosys Consulting partners with clients from strategy through execution to transform their businesses in areas such as business/ IT strategy, processes, organization, systems and risk. Infosys Consulting has 2,500+ people across the US, Europe, APAC and India
We are Value Integrators – we deliver realized business value by managing transformations from strategy / setting direction through execution, including operating and optimizing delivered solutions
Key Responsibilities
Develop and communicate a clear product vision, strategy, and roadmap for data products that align with the company's overall goals and market trends.
Develop close working partnerships with the senior stakeholders from within the dedicated area of business, fostering a product led mindset within the leadership teams.
Ensure all aspects of the Data Delivery lifecycle are considered when formulating a delivery plan, executing against Data Strategy principles.
Relentless focus on Value generation through strategic and tactical use cases for the business working closely with the finance teams to correctly attribute value that the initiatives will deliver. Metrics and Analytics: Define and monitor key performance indicators (KPIs) to measure the success and impact of data products, making data-driven decisions to optimize product performance.
Stakeholder Communication: Act as a bridge between technical teams and business stakeholders, providing regular updates on product progress, changes, and upcoming features.
Drive and foster a strong delivery mindset and culture within the agile product teams, supporting the rapid delivery of business value through a test and learn approach. This includes attending a selection of key agile ceremonies, particularly business ‘show and tells’.
Qualifications & Skills
Essential
7+ years of experience as Data Product Owner or similar roles in a product led environment.
Data Product Ownership. This means having managed a product backlog that iteratively delivers features to the business in order of highest business priority / value in a Data Team or similar. Hands on technical experience advantageous (i.e Data Analytics, Data Modelling, Data Engineering, BI).
Knowledge of data structures, technology and governance processes (e.g. Azure Data Lake).
Demonstrated the ability to act as a strategic partner with senior leaders (e.g. Country or Divisional leads) from the dedicated areas of the business, understanding their priorities and identifying the needs / value for data products.
Experience in value attribution and articulation against initiatives and use cases.
Experience working within a Data Office and/or Data Platforms business area.
Experience working and delivering through an agile methodology to deliver rapid value to business stakeholders & prioritizing a product backlog based on a variety on inputs, including business need, architectural complexity, skills availability.
Strong Data Analytics skills to support and enable technical teams.
Product management skills, including interpersonal skills, research, communications (esp. listening), demonstrated influence, and the ability to have crucial and difficult conversations.
Location of Posting: Multiple locations
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