Data Strategy Tech Lead - Santander Digital ServicesCountry : Spain
Wealth Management & Insurance is looking for a Data Strategy Tech Lead, based in our Boadilla del Monte (MADRID) office.
WHY YOU SHOULD CONSIDER THIS OPPORTUNITY At Santander () we are key players in the transformation of the financial sector. Do you want to join us?
Santander Digital Services (SDS) is the team of technology and operations at Santander. We are convinced of the importance of technology that is aligned with the requirements of the business and that out work not only brings value to users, people and communities but also fosters individual creativity.
Our team of over , people in countries (Spain, Portugal, Poland, UK, USA, Mexico, Chile and Brazil) develops and / or implements financial solutions across a broad spectrum of technologies (including Blockchain, Big Data and Angular among others) on all kinds of on-premise and cloud-based platforms.
Santander is proud of being an organization where there are equal opportunities regardless of gender identity, culture and disability.
Our mission is to contribute to help more people and business prosper. We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.
WHAT YOU WILL BE DOING We are seeking an experienced Data Strategy Tech Lead with in-depth expertise to lead the development and utilization of data systems, making data available for the organization and ready for IA initiatives.
In this role, you will be responsible for creating the WM&I data ecosystem platform based on AWS and migrating existing platforms to the new one.
As a manager of our Data Analytics department, you will be responsible for designing, implementing and optimizing our data warehousing solutions to support our organization's data-driven decision making processes.
You will lead all the new transformation initiatives that the bank is currently engaged with an aggressive deadline currently in place.
Join us to make a significant impact by developing cutting-edge data warehousing solutions that empower data-driven decision-making and drive our bank's success.
Primary Duties & Responsibilities Collaborate with stakeholders to understand organization data requirements and design and implement a technology strategy aligned with business and regulatory Objectives to create an AI data ready infrastructure and data ecosystem.
Create a Systems Plan derived from the technology strategy to deliver effective data solutions ensuring execution. Systems plan must address actual data solutions evolution, transformation and migration to the new WM&I data ecosystem AI ready platform
Create and maintain WM&I data ecosystems to support Business intelligence, reporting, analysis and AI initiatives within the scope of WM&I, including end to end process form ingestion to consumption of data
Lead the WM&I CIO Data team Including Internal personnel, Providers and collaboration with other IT Teams (CTO, CISO, DevSecOps) to create and transform Data ecosystem.
Data Modeling : design and maintain data models to ensure data integrity, consistency, and performance in the data ecossytem
Data quality assurance : implement data quality checks and validations to ensure de accuracy and reliability of data stored in the data warehouse
Data security : ensure data security and compliance with industry standars and regulations throuughout the data warehousing lifecycle
Manage Data Solutions Projects, ensuring execution on time, quality, costs and scope
Manage external Data Solution Providers collaborating to build the data ecosystem and to maintain it
RISK OBJECTIVES Proactive identification of issues or concerns related to potential gaps in existing processes, procedures, policies, frameworks, etc.;Contribution to satisfactory results in audit reviews, compliance reviews, and regulatory examinations (internal / external), Compliance and Regulatory Agency reviews;response to required corrective actions in a timely and complete manner;Completion of all assigned training (Compliance, Bank Secrecy Act, Audit, Code of Conduct, etc.) and reporting requirements within set timeframes; and
Adherence to the Code of Conduct, assigned Risk Tolerance or Mandates and all organizational policies and procedures applicable to role.
EXPERIENCE Proven experience as a data warehouse manager, preferably in a senior role (minimum years of prior relevant experience)
EDUCATION Bachelor's or Master's degree in computer science, information systems, or a related field
SKILLS
Superior organizational skills, integrity, and great follow-through on tasks
Innovative, creative, and constantly looking for ways to deliver
Appreciative and supportive of a culture that promotes sense of ownership, responding with a sense of urgency, collaboration and mutual respect.
Strong work-ethic and self-motivated and flexibility with a fast-paced environment
Excellent problem-solving and analytical skills with the ability to handle complex data-related challenges
Good communication, team player, rigorous and autonomous.
SPECIALIZED KNOWLEDGE Strong proficiency in Data Warehouse technologies and architectures such as ETLs (Talend will be valued), Databases (Oracle, Postgres and RedShift will be valued), Data Management languages (Phyton, .
Net will be valued), Data consumption platforms (PowerBI and Tableau will be valued)
Experience in data modeling and database design Solid experience with data warehousing Architectures, concepts, methodologies and best practices
Knowledge of data governance, data quality, and data security principles
Knowledge of investment banking concepts and private banking data models and business a plus
Knowledge of AWS Cloud services (S, Lambda, Glue, EMR, Athena) a plus
LENGUAGES
Spanish
English
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