Analytics Lead Manager

Auxis; Bogotá; Presencial; COP 180.000.000 - 360.000.000; Jornada completa

Descripción de la vacante

Auxis in Bogotá, Colombia seeks an Analytics Lead to guide a team of analytics engineers and deliver trusted, analytics-ready data products. You will define the analytics roadmap, promote data literacy, ensure governance, and partner with stakeholders to maximize business value from data.

The role emphasizes leadership, architecture, and hands-on delivery using Power BI, dbt, Snowflake, and Informatica IDMC in a global data platform context.

Formación

• 10+ years of relevant experience in analytics delivery and leadership.
• Hands-on with analytics engineering, BI products, and governance.
• Proven ability to drive adoption and data literacy at scale.

Responsabilidades

• Strategy, Roadmap & Service Ownership aligned with enterprise analytics goals.
• Define analytics offerings including self-service reporting and semantic models.
• Establish standards for analytics-ready datasets and governance.
• Lead analytics engineering, patterns, and dbt/Snowflake adoption.
• Provide executive stakeholder management and prioritization.
• Build and lead a high-performing analytics team.

Conocimientos

Analytics leadership

SQL

Python

Executive communication

Agile delivery

Educación

Bachelor’s degree in information technology, Computer Science, Engineering, Analytics, or related discipline

Herramientas

Power BI

dbt

Snowflake

Informatica IDMC

Descripción del empleo

Job Summary The Data & Analytics function is dedicated to designing and delivering robust global data platforms that enable business solutions and high-quality analytics. The Analytics Lead (Manager) manages a team of analytics engineers accountable for delivering trusted, analytics-ready data products, semantic models, and self-service capabilities that turn enterprise data into actionable insight. This leader defines the analytics roadmap, drives adoption and enterprise data literacy, ensures governed and AI-ready data consumption, and partners with the Head of Data & Analytics and service line stakeholders to maximize the business value of data across the organization.

Job Summary The Data & Analytics function is dedicated to designing and delivering robust global data platforms that enable business solutions and high-quality analytics. The Analytics Lead (Manager) manages a team of analytics engineers accountable for delivering trusted, analytics-ready data products, semantic models, and self-service capabilities that turn enterprise data into actionable insight. This leader defines the analytics roadmap, drives adoption and enterprise data literacy, ensures governed and AI-ready data consumption, and partners with the Head of Data & Analytics and service line stakeholders to maximize the business value of data across the organization.

Responsibilities

• Strategy, Roadmap & Service Ownership
• Align the analytics roadmap with enterprise Data & Analytics strategy, business outcomes, and service line priorities, ensuring fit-for-purpose analytics products prioritized by measurable value and ROI.
• Define analytics service offerings (self-service reporting, curated datasets and semantic models, reusable analytics patterns, and tiered service levels).
• Insight Delivery, Quality & Governance
• Establish standards for analytics-ready (gold-layer) datasets, semantic models, and metric definitions to ensure consistent, trusted, and certified reporting.
• Sponsor data quality and observability for analytics outputs, including SLAs for data freshness and availability against consumer expectations.
• Ensure governance-by-design across analytics: standardized access, classification/metadata, end-to-end lineage, retention controls, and certified datasets.
• Partner with Data Governance, Privacy, and Data Owners/Stewards to ensure analytics outputs are accurate, compliant, and responsibly and ethically used.
• Analytics Engineering & Delivery Leadership
• Mature analytics engineering standards, reference patterns, and semantic models across the Medallion (Bronze/Silver/Gold) architecture, leveraging dbt for transformation and Power BI for delivery.
• Drive analytics automation and productivity: CI/CD for analytics assets, semantic-layer reuse, and AI-ready data preparation (including Snowflake Cortex AI enablement).
• Provide executive-level stakeholder management for analytics delivery commitments, intake and prioritization, and escalations.
• Leadership & Talent
• Build and lead a high-performing team of analytics engineers.
• Define operating model, roles, sourcing strategy (including global delivery centers), and technical and analytics career paths.
• Set measurable goals for adoption, data quality, delivery velocity, cost, and user satisfaction.

Skills and Experience

• English level B2+
• 10+ years of relevant experience with demonstrated leadership in analytics delivery, analytics engineering, and BI/insight products; 3+ years in leadership or team‑lead roles.
• Proven ability to deliver enterprise-grade analytics and self-service capabilities with strong governance and data quality alignment.
• Strong technical breadth across analytics engineering, semantic modeling, BI and visualization (Power BI), cloud data platforms, and modern transformation tooling (dbt).
• Executive communication, storytelling‑with‑data, and presentation skills.
• Experience building analytics‑ready data products and semantic layers at scale (including data quality and observability) and driving adoption and data literacy.
• Experience with Agile delivery, intake and prioritization practices, and Snowflake/Informatica IDMC platform best practices.
• Proven experience with Machine Learning, predictive analytics, and natural language processing.
• Strong programming skills in SQL and Python for data validation, profiling, reconciliation, and analytics.
• Experience with data modeling methodologies (Dimensional modeling, Data Marts, Data Warehousing, Star/Snowflake schema).

Education / Professional Experience/ Qualifications

• Bachelor’s degree in information technology, Computer Science, Engineering, Analytics, or related discipline.
• Snowflake experience is required.
• Hands‑on experience with BI and analytics engineering tools (e.g., Power BI and dbt) is required.
• Preferred: Experience in professional services, accounting industry, or client service/consultative technology roles.