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First VP, Marketing Automation Domain Architect

Location: Singapore
Company: United Overseas Bank
foundit (Monster)
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Job Responsibilities

This role will lead the solution architecture aspects of Data Analytics and Marketing Automation domain encompassing Marketing Automation, Big Data engineering, Data Warehousing, Data Integration, Data Quality, Data Modelling, Visualization, Analytics, Machine Learning based model development, etc. Responsibilities include:
- Work closely with business partners to define technology solutions for business requirements/capability roadmap
- Collaborate with technology peers and leaders to define the future architecture and application roadmap
- Create/maintain principles, practices, and standards to get there. Influence leadership and staff to constantly move towards it. Monitor the adoption and efficacy of architectural standards and practices
- Collaborate across the technology organization in ensuring execution plans are aligned with architecture and application roadmap
- Drive change across the Data engineering team via personal credibility, experience. Need to demonstrate empathy, continually balancing between autocracy vs. autonomy vs. anarchy around technology choices and change
- Create awareness and buy-in amongst various stakeholders about architecture, design pattern, framework and new way of working. Needs to be able to act as a mentor/executor when required
- Participate in and lead cross-bank technology initiatives
- Functional knowledge of Retail bank, Wholesale, Global Markets, Finance, Risk and Compliance oriented products & business processes
- Familiarity with Marketing Automation and Analytics solutions and technologies like Unica Campaign, SAS Marketing Automation, Salesforce Marketing Cloud

Job Requirements


Functional skillsets
- Strong in defining end-to-end solution in real time and batch campaign management (across data sourcing, plan, design, execute, fulfil and measure)
o Data source integration and event sourcing
o Targeting and segmentation
o Campaign and offer eligibility and prioritization
o Channel integration and delivery
o Closed loop analysis and fulfilment initiation
o Request and approval process for the new campaigns/offers
- Good business domain knowledge in the Financial Services industry
- Complementing marketing automation platform with AI/ML based model integration
Technical skillsets
- Adobe Campaign. This should be based on hybrid solutions comprising both on-premise and cloud components
- Adobe Analytics (good to have)
- Unica Campaign, SAS Marketing Automation, Salesforce Marketing Cloud (good to have)
- Associated technologies for integration e.g. SMPP, Adobe SDK/API
- Associated technologies for customization e.g. Java, Javascript, SQL, XML, data modelling
- Data mart, ETL and reporting technologies (good to have)

Qualifications


- Deep experience in marketing automation technologies and processes e.g. Adobe Campaign (preferred), Unica Campaign, SAS Marketing Automation, Salesforce Marketing Cloud (good to have)
- Good experience in defining the associated operating models in support of the Marketing automation and analytics solution
- Good experience with large scale technology modernizations and platform migrations of data warehouse, data marts, reporting tools etc
- Expertise in large databases involving e.g. Oracle, Teradata etc (good to have)
- Expertise in Data Integration tools/platform e.g. Informatica, IBM Data Stage etc (good to have)
- Expertise in Visualization tools/platform e.g. Qlik, Power BI etc (good to have)
- Expertise in Big Data Engineering tools/platform e.g. Cloudera, Horton Works, APACHE etc. Deep expertise in HDFS, HIVE, IMPALA, Kafka, SPARK, YARN is a plus (good to have)
- 10+ years of experience of services, product development, infrastructure and security experience as an architect or similar hands-on technology leadership role
- Deep knowledge of modern technology stacks, software development tools and practices, application and system performance monitoring, and the patterns and practices required to build highly available and scalable services
- Detailed understanding of infrastructure, integration, virtualization, storage, networks, and security technologies
- Detailed understanding of Industry data model, reporting data model and other standard data model required to support build-out of static and dynamic analytical capabilities
- Has operated in a mixed portfolio of cloud-native and legacy technologies
- Passion to leverage Data/Analytics and Machine learning to advance business projects
- Recent experience with technology organization and culture transformations, particularly integrating effective Agile planning and development practices across large organizations
- Experience designing, building, and operating high volume, client facing SaaS products
- Solid financial and operational acumen. You must understand the cost of trade-offs of various technology decisions and be able to model short and long-term implications
Experience or certification in the below technologies will be an added advantage:
- Demonstrates experience in translating high level business capability requirements into executable technical solutions in the larger context of Domain Architecture focused on DATA
- Broad experience of projects involving one/more of relevant Data Analytics technology areas viz BIG Data engineering, Data Warehousing, Data Integration, Data Quality, Data Modelling, Visualization, Analytics, Decision Systems, Machine Learning based model development
- Prior experience in defining enterprise data roadmaps for up-scaling and/or modernization of Data architecture
- Prior Experience in leading experimentation and selection of technologies by leveraging his/her expertise on technology drivers, trends, analysis of cost and complexity with organizational and operational capabilities

Education


A Master's degree in Computer Science or closely related discipline or a BS degree in Computer science, Engineering, Physics, or Mathematics with significant relevant software development and Big data experience.

What will help you succeed in this role


- Adopt an uncompromising attitude when it comes to quality and help raise bar of products and team members
- Be a team player who communicates effectively and professionally with both internal and external customers. Evidence of your ability to influence an organization
- Make good technical decisions that provide solutions to business challenges
- Embrace tackling and resolving complex technical design issues
- Possess strong problem solving and decision-making skills while exercising good judgment
- Ability to understand the big picture - can step back and understand the context of problems before applying analytical skills to address the issues
- Proven ability to communicate and develop long lasting relationships with all levels of Management in a clear, concise manner

Be a part of UOB Family


UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Apply now and make a difference.

Job Responsibilities This role will lead the solution architecture aspects of Data Analytics and Marketing Automation domain encompassing Marketing Automation, Big Data engineering, Data Warehousing, Data Integration, Data Quality, Data Modelling, V

Skills: First VP / VP, Marketing Analytics Development Lead

Experience: 10.00-13.00 Years

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