Job Openings Data Acceleration Program (DAP) Business Lead

About the job Data Acceleration Program (DAP) Business Lead

Key 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 Client & Marketing Workstream
  • 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 CX & marketing 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


Stakeholder Management:

  • Enable and support Client and Marketing in leveraging the Data Backbone and its features
  • Manage and facilitate senior leadership discussions to build transparency, confidence, and ensure successful delivery.
  • Collaborate with Change Management and Training Teams to drive the adoption and utilization of Data Backbone product features, including dashboards, reports, and the data warehouse

Risk Management:

  • Proactively identify, assess, and mitigate risks and issues throughout the product lifecycle
  • Develop contingency plans and implement risk mitigation strategies


Technical Expertise:

  • Stay current with industry trends and emerging technologies in data management and analytics.

User Experience:

  • Understand and advocate for the needs of end-users, including data scientists, insights and data specialists, and operations managers.
  • Continuously gather feedback and iterate on product features to enhance user satisfaction and productivity.


Agile Methodologies:

  • Implement and champion Agile practices within the team.
  • Facilitate sprint planning, reviews, and retrospectives.


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 Strong understanding of data management, analytics, and lakehouse architectures
  • Experience in the Life Insurance and Investments industry is highly desirable
  • Experience in developing and deploying data analytics solutions in the Client
  • Experience and Marketing 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).