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Findasense

Global CX consultancy delivering data-driven experiences

Global Head of Data Intelligence - Analytics and IA

Engineering LeadershipPosted on Nov 13
Full-timeBogotá, Bogota, ColombiaNo salary listedHybrid

About the Job

Requirements

  • At least 7 years of experience leading data analytics or AI teams in global or multicountry contexts, with a track record of large-scale transformation programs.
  • Experience defining methodologies, governance, and service standards, including KPIs and SLAs.
  • Demonstrated ability to lead multidisciplinary teams in data science, data engineering, business intelligence, research, and marketing technology, and align multiple stakeholders.
  • Knowledge of social listening platforms such as Sprinklr, YouScan, Brandwatch, and Sprout Social, and social media analytics.
  • Knowledge of digital and social media campaign metrics and performance marketing.
  • Understanding of Salesforce Marketing Cloud and the customer relationship management ecosystem, including journeys, audiences, and activation.
  • Experience administering SQL and NoSQL databases, designing data models, and ensuring data quality.
  • Knowledge of social web application programming interfaces and advertising and analytics connectors.
  • Knowledge of end-to-end tools such as Domo or equivalent tools.
  • Knowledge of artificial intelligence solutions, including Gemini, GPT-5, Perplexity, and Claude.
  • Advanced English proficiency for presentations and workshops with global audiences.
  • Ability to combine and enrich information from social, customer relationship management, web and app, e-commerce, sales, brand tracking, and call-center sources.
  • Structured thinking and ability to synthesize complex information and focus on business impact and value.
  • Executive storytelling and clear communication with technical and non-technical audiences.

Responsibilities

  • Lead and scale a global team across data science, data engineering, and analytics in multiple time zones, focusing on operational excellence, collaboration, and value delivery.
  • Define the intelligence and analytics roadmap, including use cases, backlog, priorities, and objectives and key results, aligned with business strategy and market needs.
  • Orchestrate the end-to-end portfolio from ideation, scoping, design, development, deployment, and adoption through minimum viable product and scaling, removing blockers and ensuring on-time, on-quality, and on-budget delivery.
  • Establish standards and governance, supported by the data engineering team, covering methodologies, data contracts, data quality and lineage, security and privacy, machine learning operations and large language model operations, and experimentation including A/B testing and causal methods.
  • Oversee data engineering, including data model and batch and streaming pipeline design, integration of social, customer relationship management, web and app, e-commerce, and sales sources, reliability, and cloud costs.
  • Build and evolve descriptive, predictive, and prescriptive data and analytical models for personalization, campaign optimization, and forecasting.
  • Drive multichannel marketing analytics across paid, owned, and earned channels and customer relationship management, advanced social listening, and automated executive dashboards.
  • Manage talent through hiring, onboarding, career paths, performance reviews, mentoring, and continuous upskilling, and foster a learning and high-performance culture.
  • Plan capacity and budgets, allocate resources, negotiate with partners and vendors, and optimize everything-as-a-service costs.
  • Align C-level, market, product, IT and security, and marketing stakeholders on service agreements, KPIs and SLAs, value-based prioritization, and market adoption.
  • Communicate impact through executive storytelling, value measurement, and success cases that can be replicated at scale.
  • Ensure responsible AI, including ethics, transparency, and regulatory compliance across developments and activations.
  • Develop accelerators such as dashboards, pipelines, and AI agents to automate processes and enable data extraction, analysis, and activation at scale.

Desired Qualifications

  • Programming in Python and/or R, ideally both; building pipelines with APIs and ETL/ELT; orchestration with Airflow or Prefect; and version control with Git.
  • Knowledge of social web application programming interfaces and advertising and analytics connectors.
  • Knowledge of cloud solutions including AWS, GCP, or Microsoft Azure, including data lakes and warehouses, functions, and orchestration.
  • Data visualization with Tableau, Power BI, and/or D3.js, and executive dashboard design.
  • Causal modeling, experiment design, and impact evaluation.
  • Proactivity and focus on continuous improvement and efficiency.

About the Company

Findasense

Global CX consultancy delivering data-driven experiences

Findasense helps brands improve how they interact with people by offering consulting, agency services, and technology integration to create smooth customer journeys across phone, social, web, mobile, retail, and other channels. Its products and solutions use data science to tailor experiences and content to each user, coordinating across channels to move customers toward desired actions. What sets Findasense apart is its combination of strategy, creative execution, and tech implementation, plus deep knowledge of consumer behavior across more than 10 industries and a global footprint with local expertise in about 20 countries. The company works with major brands to drive digital transformation and to connect with people in meaningful ways, aiming to make business a positive force for change.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Madrid, Spain
Founded
2007

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