José M. Peña Email & Phone Number

Alcala De Henares, Es

King Of Prussia, Pa, Us

As part of Qlik's Customer Success Organization, I serve as the Senior Manager of Customer Success Engineering for the EMEA region, leading a talented team of experts in Qlik Data Integration, Qlik Analytics, and AI solutions. I focus on driving customer success and outcomes in both on-premises and cloud deployments. My key responsibilities include:Overseeing the Customer Success Engineering (CSE) team to ensure seamless delivery and support of Qlik's products and AI-driven solutions across diverse markets and industries, ensuring our customer success approach spans the entire company.Collaborating closely with customers to optimize their data integration, analytics, and AI strategies, using data-driven insights to ensure they reach their desired outcomes and adapt quickly as needed.Managing strategic relationships and fostering deep partnerships with key stakeholders, both internal and external, ensuring long-term customer satisfaction, loyalty, and business growth.Leading initiatives to enhance team expertise in cutting-edge data technologies, both on-prem and cloud-based, to meet the evolving demands of the subscription and SaaS economy.Mapping and knowing the customer journey inside and out, ensuring every interaction matters in retaining customers and reducing churn.Emphasizing that customer success is a company-wide, collaborative effort, ensuring all teams are aligned in delivering the best customer experiences and driving continuous improvement.As part of the Customer Success Organization, I am dedicated to ensuring that when our customers succeed, we succeed.

King Of Prussia, Pa, Us

Senior Principal Data Integration Engineer in Qlik division for data integration solutions. I use Qlik Replicate and Qlik Cloud Data Integration solutions to help organizations bring all their data assets from raw to analytics ready. Qlik data integration solutions include: Qlik Replicate: Data replication, ingestion and streaming across a wide variety of databases, data warehouses, and big data platforms. Qlik Compose: ETL automation and data pipeline creation for data lakes and warehouses. Qlik Catalog: Modern enterprise data management and cataloging.As Senior Principal Data Integration Engineer I work proactively with organizations as a business advocate and act as the main technical point of contact within the Customer Success Organization. I am responsible for outlining the use cases, architecture, outcomes and key business values to be achieved, with corresponding success metrics. I am also responsible for aligning the appropriate resources to deliver against the plan metrics.

Cambridge, Ma, Us

Member of the Teaching staff for the course “Elements of Data Science and Statistical Learning with R”. It is a final Data Science course to complete the Certificate.The course covers statistical learning methods and their applications. The R programming language is used throughout the semester. The fundamentals of statistical testing and learning are covered: - Principles and different types of statistical learning; model quality, bias-variance trade-off. - Simple and multiple linear regression. - Assessment of model prediction quality, cross-validation, bootstrap. - Model selection and regularization: dimensionality reduction, ridge and lasso. - Unsupervised learning: clustering approaches (K-means, hierarchical clustering). - Supervised learning: classification problems. - Classification using logistic regression, discriminant analysis, naïve Bayes. - Classification with Support Vector Machines. - Neural Networks.

Madrid, Madrid, Es

Lead transformational engagements for IT, Operations and Data Integrity areas. Facilitate discussions to deliver value to both technology and business, including their corresponding CXO levels.Manage multiple operations simultaneously. Facilitate and lead their execution. Guarantee the cohesion and communication among teams.Explore and identify areas of applicability of Data Science methods and ultimately guide teams throughout the implementation.Following are my key responsibilities: - Supervise plans and execution of the portfolio of IT operations from inception to delivery. - Act as Liaison between Customer & Company's leadership. Partner with Senior IT and key Business areas. - Lead and develop teams. Negotiate with vendors and offshore locations for allocation of resources. - Provide oversight and guidance across teams, coordinate action plans and resolve interdependencies. - Oversee Program strategy and guarantee the cohesion among project teams. - Define, agree and follow up the Program KPIs to guarantee projects are delivered on time with satisfaction. - Prepare and follow up the Program budget for my Company.

Madrid, Madrid, Es

Lead operational planning and resource organization. Determine project estimates, deadlines and deliverables. Manage risks and resolve issues. Communicate on project status to all required stakeholders.Manage internal and external stakeholder relationship.Align requirement & solution to ensure business objectives are met post implementation.Create solutions leveraging cross functional teams- Review, assign and monitor day-to-day workload and managing releases according to corp. calendar.- Responsible for estimation, scheduling, design, QA testing and execution of enhancements.- Ensure SLAs, handle escalations, quality process adherence and status & performance reporting.- Manage stakeholders expectations, resource management and mentor high performance teams.

System Analyst in the Home Banking delivery department, involved in the entire Software Development Life Cycle, including analysis, design, programming, testing and documentation.Design and implementation of back-end software components to serve as gateways to transactional legacy systems (host based systems) in C and C++. Implementation of the earliest dynamic web-based user interfaces in the Spanish Banking industryOther responsibilities included:- Perform website pages design and development.- Supervise and assist programmers in developing requirements.- Define, recommend and implement solutions to end-user problems and requests.- Perform the tasks of maintenance and enhancement of the assigned systems.

Professional Graduate Certificate, Data Science

Graduate Certificate, Deep Learning

Graduate Certificate, Advanced Machine Learning, Data Mining, And Artificial Intelligence

Graduate Certificate, Elements Of Data Science And Statistical Learning With R

Graduate Certificate, Introduction To Quantitative Methods For Economics

Master'S Degree, Computer Science