DATA BACKBONE - BUSINESS LEAD

Responsibilities

Product Ownership:

• Partner with the Product Manager to detail the product vision for the Data Backbone into an executable roadmap that aligns with the Business strategy
• Execute the product vision for the Data Backbone Distribution & Agency Workstream mar
• Ensure the product meets the needs of end-users, including data scientists, insights specialists, and campaign owners.
• Translate business requirements into actionable product backlog items and user stories.
• Prioritize features and capabilities that align with organizational goals and user needs.
• Synthesize and harmonize requirements and inputs from different business stakeholders and data end-users.
• Guide both business and technical talents, and unblock challenges
• Foster a collaborative and agile working environment to ensure efficient product delivery.
• Performance Monitoring and Value Realization

Define and track OKRs for the product workstream

• Contribute to the overall Data Backbone Value Statement Card (VSC) / Business Case
• Quantify the potential benefits and business impact from each backlog / business requirement
• Drive value realization from deployed use cases and champion the adoption and utilization of Data Backbone features
• Drive awareness and educate both technical and business end-users on Data Backbone Client Workstream concepts and features
• Continuously analyze and report on product performance and user adoption
• Partner with Finance and monitor the realization of potential benefits, which may include decommissioning of reports/systems, freeing up capacity, or enabling Distribution and Agency initiatives and campaigns for more data-driven decision-making

KPI Stewardship

• Review and drive the standardization of business logic and KPI metric definition across functions, Lines of Business, or with other markets
• This includes aligning KPI definitions in relation to business goals, in order to drive the right behaviors and business actions
• Endorsing the KPIs for sign-off from the KPI Owner or Executive Leader

Qualifications

• Bachelor's degree in computer science, Information Systems, or related field; Master's degree preferred
• 5+ years of experience as a Product Owner or similar role in data-driven projects
• Experience in the Life Insurance and Investments industry is highly desirable

Preferred skills

• Strong understanding of data management, analytics, and lakehouse architectures
• Experience in developing and deploying data analytics solutions in the Distribution and Agency domain
• Proven track record of successful product delivery in Agile, Lean Incremental, or Waterfall methodology
• Excellent leadership and team management skills.
• Strong analytical and problem-solving abilities.
• Outstanding communication and presentation skills.
• Proficiency in the mentioned tech stack (Confluence, JIRA, Tableau, Erwin Data Modeler, AWS).
• Certifications in Agile methodologies (e.g., Scrum, SAFe) are a plus
• Familiarity with Salesforce and Digital Tools is a plus