BENEFITS:

• Flexible working hours (5 working days/week) and no overtime.

• Competitive salary with annual review and performance bonus.

• Monthly lunch allowance.

• 100% official salary during the probation period; 13th-month salary.

• Onsite opportunities in the US, UK (1-3 months/year).

• Biannual luxury vacations and monthly Happy Hour.

• Exciting company outings/events and team building activities.

• Outstanding Wellness and English training allowances.

• Bao Viet Premium health-care insurance.

• Sponsored training and self-development opportunities (English, PMP, CSM...).

• 10% paid working time per week for personal development (attending soft skill courses, reading books, working on side projects, self-teaching any new IT-related concepts).

• Modern facilities with Laptop Dell Precision 7550 chip I7-10xxxH, Ram 32GB, SDD 1TB and at least 2 high-quality monitors.

• Free access to over 9,000 courses on LinkedIn.

• Supportive, international, dynamic working environment and talented, culturally diverse teams.

• A large pantry full of snack, drink, and seasonal fresh fruit.

POSITION SUMMARY:

The Data Manager is accountable for translating the Product & Technology data strategy into target data architecture, sets of data products and services, and the delivery roadmap. This position will work closely with product owners and software engineers to ensure the alignment of capabilities, short-term and long-term trade-offs, collaborate with data architects and data engineers, and will manage data analysts to ensure the delivery of those products and services.

PRIMARY RESPONSIBILITIES INCLUDE:

• Establish, socialize, and obtain the endorsement for company’s data and analytic architecture, business capabilities, and services.

• Define and design the company Data Platform roadmap to ensure that quick wins can be balanced with strategic investment while reducing or minimizing the technical debt. Ensure the platform delivers business and customer value while also becoming more robust, secure, scalable and efficient.

• Define the data privacy policy and the roadmap that meets regulatory and compliance obligations, such as GDPR and POPIA, and ensure the architecture is embedded with data privacy features.

• Work with product owners to prioritize the data capabilities and services to align with business and product roadmaps.