Hybrid Analytics Culture and Data Science Management

at Sicredi

• Job title: Analytics Culture and Data Science Management
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: AWS, Azure, Cloud, Docker, Google Cloud Platform, Java, Python, Scala, SQL
• Location requirements: Hybrid, Porto Alegre, Brazil

About the role

• Leads Data & IA teams at Sicredi to enhance the analytical culture and drive value generation. Collaborates with various teams to implement effective data science practices.

Responsibilities

• Lead the organization’s central teams responsible for promoting and enabling the use of analytics and data science across the institution;
• Propose improvements and lead the relationship between the Center teams and the business data teams, driving the evolution of the federated operating model;
• Lead Sicredi’s Data & AI community, fostering engagement and the development of these disciplines to add business value;
• Promote value generation for the business driven by analytics and data science, seeking to advance the maturity and autonomy of business data teams (spokes);
• Act as a change agent and driver of data culture evolution by building relationships with peer areas, business units, product teams and vendors;
• Provide and enable the use of innovative tools, analytical methods and data products aligned with business needs;
• Lead the development of enabling components of the data science platform and promote their adoption and efficient use;
• Participate in and represent analytics and data science topics for Sicredi at national and international events, seeking connections;

Requirements

• Be a role model of excellence for your team;
• Have excellent communication and presentation skills, as you will be a promoter and evangelist of the analytical culture;
• Have experience managing leaders and technical teams;
• Have an ambidextrous mindset, allowing space for challenging ideas and viewpoints;
• Be resilient, flexible and agile;
• Have strong ability and willingness to transit across different areas to exert influence, focusing on achieving common objectives in the federated model;
• Have experience working with matrix teams (federated model);
• Be skilled at time management;
• Be passionate about learning and always open to new knowledge;
• Have logical reasoning, analytical ability and creativity to find solutions;
• Be proactive and creative;
• Promote diversity;
• Experience leading Data & AI teams;
• Experience working in large enterprises within Data & AI teams;
• Experience with ML/AI projects, from prototyping to model delivery;
• Experience in developing Data & AI communities;
• Experience in structuring corporate Data and Analytics teams;
• Experience with DevOps tools (Docker, CI/CD);
• Experience in time series data analysis, modeling, and machine learning libraries;
• Experience with programming languages SQL, Python and/or R, Java and/or Scala;
• Experience with orchestration frameworks and MLOps stack;
• Experience with traditional Data Science techniques (clustering, A/B testing, etc.);
• Experience working with cloud computing (AWS, Azure and/or GCP) and Databricks;
• Experience with data analysis and visualization tools (Power BI, PowerApps, Report Builder);
• Knowledge of data virtualization (Denodo) is desirable;

Benefits

• Fixed 14th and 15th salary payments;
• Profit sharing / Results participation (depending on seniority);
• Health and dental plans with no co-payment;
• Wellness programs via Wellhub (formerly Gympass): Nutrition, Psychology, Occupational Health, Massage, running group and local gym;
• Meal and food vouchers – flexible allocation (%) between meal and food cards, with no co-payment;
• Extended maternity and paternity leave;
• Childcare or nanny assistance for children up to 6 years and 11 months;
• Assistance for children with disabilities, no age limit;
• Life insurance;
• Private pension plan up to 7% of salary;
• Training platform – Sicredi Aprende, with a wide range of courses;
• 40-hour workweek – using a time bank system;
• Remote work allowance (except for positions that require 100% on-site presence).