Manager, Strategic Projects (Data Product Owner)
Manager, Strategic Projects (Data Product Owner)
The Hong Kong Jockey Club
Hong Kong, Hong Kong SAR
See who The Hong Kong Jockey Club has hired for this role
The Department
The Customer Strategy, Insights, and Innovation (CSII) Division is dedicated to cultivating customer-centric capabilities across the Club ecosystem and shaping customer strategies that drive business growth. Through a data-driven approach, the Division strives to achieve a 360-degree understanding and insights of owners, members and wagering customers, enabling the seamless design of end-to-end customer experiences across online and offline channels (Racecourses and Off-course Betting Branches). This is achieved by integrating Clubwide customer data onto a unified platform, creating a single view of our customers that empowers us to deliver personalised offers and unique experiences.
Enterprise Data Analytics Platform (EDAP) project is to implement the Club-wide data analytics platform to support Club’s strategic direction to transform the Club into a data-driven organisation. The transformation journey with data analytics could accelerate the Club to obtain insights to support Club’s strategic initiatives (including Customer Centric Transformation) and provide enhanced personalised digital experience to customers.
The Job
You will:
You should have:
The level of appointment will be commensurate with qualification and experience.
Enquiries
We are an equal opportunity employer. Personal data provided by job applicants will be used strictly in accordance with the Club's notice to employees and prospective employees relating to the Personal Data (Privacy) Ordinance. A copy of which will be provided immediately upon request.
The Customer Strategy, Insights, and Innovation (CSII) Division is dedicated to cultivating customer-centric capabilities across the Club ecosystem and shaping customer strategies that drive business growth. Through a data-driven approach, the Division strives to achieve a 360-degree understanding and insights of owners, members and wagering customers, enabling the seamless design of end-to-end customer experiences across online and offline channels (Racecourses and Off-course Betting Branches). This is achieved by integrating Clubwide customer data onto a unified platform, creating a single view of our customers that empowers us to deliver personalised offers and unique experiences.
Enterprise Data Analytics Platform (EDAP) project is to implement the Club-wide data analytics platform to support Club’s strategic direction to transform the Club into a data-driven organisation. The transformation journey with data analytics could accelerate the Club to obtain insights to support Club’s strategic initiatives (including Customer Centric Transformation) and provide enhanced personalised digital experience to customers.
The Job
You will:
- Engage and communicate with cross-functional business teams within the Club to understand existing business process and pain-points. Analyse and identify improvement opportunities with data analytics & AI
- Be a change agent to enable cross-functional business teams to leverage data analytical tools and AI technologies to benefit internally and externally
- Facilitate the generation of ideas and user requirements with business teams and support efficient design solutions that comply with Club’s guidelines and standards
- Assist business teams to review system requirement documents to ensure user requirements are correctly captured for delivery
- Provide support to business teams, use agility framework in testing & demo to ensure delivering products meet product’s acceptance criteria
- Align with business and IT stakeholders to support implementation of data analytics & AI use cases and change management
- Attend scrum events to support the project with agile delivery
- Support project management activities (including preparation of project status report, host project update meetings, manage issue log, risk log, dependency register and project work plan)
- Support business teams to identify change impacts to business. Produce and align business and IT stakeholders on change management plan, and ensure change plan is executed as planned
- Develop and build relationship with stakeholders across different divisions and departments. Manage stakeholders relationship through effective communication and expectation management for successful project delivery
- Ensure compliance with Responsible Gambling Policy and all stipulated legal requirements pertaining to wagering, thereby protecting the integrity of the Club’s business
- Undertake other duties as assigned by management
You should have:
- Bachelor / Master degree in Computer Science, Information Technology, Data Analytics or equivalent with a minimum of 8 years’ relevant experience
- Solid experience in system development life-cycle (in particular on data ingestion into data lakehouse in cloud, dashboards & stakeholder management)
- Experience in project management methodologies
- Experience and passion in data & analytics technology such as cloud technology, data & analytics, BI visualisation tools and data wrangling tools
- Good interpersonal and communication skills in both written and spoken English and Chinese
- Strong business acumen and good problem-solving skills
- Immediately available is preferred
- Sound understanding of business dynamics and its key value drivers
- Understanding of technical of large-scale data analytics platform
- Project Management Professional Certification is a plus
The level of appointment will be commensurate with qualification and experience.
Enquiries
We are an equal opportunity employer. Personal data provided by job applicants will be used strictly in accordance with the Club's notice to employees and prospective employees relating to the Personal Data (Privacy) Ordinance. A copy of which will be provided immediately upon request.
-
Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Project Management and Information Technology -
Industries
Non-profit Organizations
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