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CORPORATE DATA ARCHITECTURE DIRECTOR

Team: Corporate Data & Analytics Executive Direction

Country: Perú/ Colombia

The impact you’ll make

You will assess the organization's data architecture, analytic methods, tool selection, development strategy and data architecture and engineering roadmap. Your work will revolve around understanding complex business models, large and complex data manipulation, and building resilient data architectures. The position includes management of commitments to and relationships with technical and business stakeholders within Belcorp. This role requires proven practical experience as a data engineer and data architecture, who can tell the story of our data in business terms.

You will build data-driven solutions to bring the best experiences to our one million consultants and millions of consumers by working directly with product data managers to improve the quality of our data tools and infrastructure. And you will find opportunities to align use cases and simplify our data consumption, integration, and processing frameworks.

The challenges you will have

• Create a central, unified definition of the future of data architecture for the organization.
• Develop the organization’s future data architecture strategy by working with multiple cross-disciplinary stakeholders.
• Engage a wide range of stakeholders across the organization in assessing data trends and their implications on the organization. Facilitate an ongoing discussion leading to actionable outcomes.
• Research and develop new data products or services to expand markets, monetize data (directly and indirectly) and grow company revenue.
• Exploit data using research and analytics to maximize the return on data assets, and develop methods to ensure consistent application and use of analytics.
• Identify new kinds, types and sources of data to drive business innovation throughout the organization. Define processes for the effective, integrated introduction of new data.
• Identify and standardize the use and governance of data and analytics in support of the enterprise's business strategy. This includes the governance of data and algorithms used for analysis, analytical applications and automated decision making.
• Scan the industry and market to stay up to date on the latest data trends.
• Establish the organization’s thought leadership in the future of data by publishing and sharing best practices and insights, both internally and externally.
• Provide guidance to teams on the development of data solutions (tools, software and algorithms)
• Lead a team of subject matter experts on initiatives to achieve the business goals.
• Forecast and manage potential risks to the organization’s support on the strategical initiatives.
• Lead internal and external communication on the organization's data architecture initiatives.

What will you bring

The Corporate Data Architecture Director has a solid background in computer science, with extensive experience designing and leading large-scale business-critical data processing applications. And deep knowledge of several industry solutions and vendors across its domain expertise in Information systems and Data with a global perspective to lead robust and scalable architectures and interfaces using best practices.

• Experience engaging with business teams to communicate the data & analytics solutions.
• Strong consultative skills including critical thinking and creative problem solving
• Ability to lead in a global, complex and matrixed environment
• Experience in setting up and leading cross-functional teams
• Experience leading change management or transformation initiatives
• Ability to influence and inspire a wide variety of stakeholders across the organization
• Solid market and business acumen
• Experience working in fast-paced, product-focused organizations or business units.
• Experience across the entire SDLC; concept, design, development, deployment, testing, release, and support.
• Profound experience in tech background, different languages of programming.
• Proven experience acting as an architect and technical lead with the ability to mentor data engineers.
• Experience in cloud services (AWS, GCP, Azure) for different types of model scopes (API-First, near-real time, batch processes, etc.).

Apply here!