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Group it program & data director

Madrid
Grupo Konecta
Publicada el 14 enero
Descripción

PbWHO WE ARE /b /ppbr/ppKonecta is a leading innovative global service provider in customer management business process and digital outsourcing, with 120,000 passionate employees working in 30 languages across 4 continents and 26 countries. /ppFocusing on the unique needs and opportunities of each industry, Konecta offers a full range of end-to-end customer management solutions – including acquisition, retention, customer service, technical support, and collection – all based on a sustainable business model. These services are built on a portfolio of world-class expertise covering customer experience and process management, digital solutions and cutting-edge technologies. /ppHeadquartered in Madrid, Konecta delivers global revenues of €2 billion with more than 500 clients, covering some of the biggest names in telecoms, energy, banking, mobility, retail, and e-commerce. /ppbr/ppbMISSION OF THE ROLE /b /ppbr/ppThe bGroup IT Program Data Director /b reports to the Group CIO and plays a pivotal strategic leadership role within the organization. This position is accountable for defining, governing, and delivering complex, interdependent IT and Data programs that are fully aligned with the Group’s business strategy, profitability objectives, and sustainable growth ambitions. /ppActing as a key bridge between business strategy, program execution, and enterprise data capabilities, the role ensures the successful delivery of large-scale transformation initiatives while establishing a modern, secure, and scalable data ecosystem across all Group entities. The Group IT Program Data Director transforms technology and data into tangible business value, enabling data-driven decision-making, advanced analytics, and operational excellence with measurable PL impact. /ppbr/ppbr/ppbRESPONSIBILITIES /b /ppb1. Program Strategy, Governance, and Alignment /b /pulliDefine and articulate the vision, scope, and roadmap of Group-wide IT and Data programs in collaboration with Executive Management and Business Sponsors. /liliStructure complex programs by identifying constituent projects, their critical interdependencies, and optimal execution sequencing. /liliEstablish and chair the Program Steering Committee (SteerCo), ensuring effective governance, transparency, and decision-making. /liliEnsure continuous alignment with corporate strategy, target business and IT architectures, and enterprise data strategy. /li /ulpbr/ppb2. Program Execution and Financial Management /b /pulliOversee the execution of multiple interdependent IT and Data projects, ensuring adherence to Group standards and delivery methodologies (Agile, Waterfall, Hybrid, SAFe). /liliEnsure strong sponsorship and engagement from Regional CIOs and key stakeholders across all entities. /liliManage overall program budgets (CAPEX and OPEX), optimizing resource allocation and controlling expenditures with clear EBITDA and PL impact. /liliDefine, monitor, and report on KPIs, value metrics, and benefit realization to track progress and business outcomes. /li /ulpbr/ppb3. Data Strategy, Architecture, and Platforms /b /pulliDefine and evolve the Group Data Strategy in collaboration with Executive Management and, where applicable, the Chief Data Officer. /liliDesign, maintain, and govern the target enterprise data architecture, including data models, flows, storage, and integration layers. /liliLead the selection, implementation, and governance of data platforms and technologies (Cloud Data Warehousing, Data Lakes, ETL/ELT, BI/Analytics, MLOps). /liliEnsure consistency and scalability of data models and solutions across all Group entities and systems. /li /ulpbr/ppb4. Data Governance, Quality, and Compliance /b /pulliEstablish and enforce enterprise-wide technical data governance and quality standards (profiling, cleansing, monitoring). /liliImplement data governance tools and processes, including data catalogs, lineage, and metadata management. /liliEnsure the security, confidentiality, and regulatory compliance of data assets (e.g., GDPR, CCPA), in close collaboration with IT Security. /liliOversee Master Data Management (MDM) to guarantee a Single Source of Truth for critical business data. /li /ulpbr/ppb5. Delivery, Operations, and Risk Management /b /pulliOversee the operational stability and performance of IT and Data platforms, ensuring reliability, scalability, and availability. /liliManage risks, dependencies, and issues at program level, proactively escalating critical topics to the Steering Committee. /liliLead change management initiatives to ensure adoption of new systems, platforms, and data solutions across the organization. /liliAssess and govern scope changes, evaluating their impact on timelines, costs, and expected benefits. /li /ulpbr/ppb6. Leadership, Communication, and Stakeholder Management /b /pulliLead, coach, and develop Program Managers and Data teams (Data Architects, Data Engineers, Data Modelers), fostering collaboration and high performance. /liliServe as the primary point of contact for Executive Sponsors, Business Leaders, Regional and Country CIOs regarding program and data initiatives. /liliPromote a data-driven culture and technical excellence across the Group. /liliManage strategic relationships with key technology and cloud partners. /liliEnsure clear, audience-tailored communication, from detailed delivery reports to executive dashboards. /li /ulpbr/ppbREQUIREMENTS /b /pulliMaster’s degree (or equivalent, e.g., MBA or Engineering School) in Information Systems, Computer Science, Data Science, or a related field. /liliMinimum b10–12 years of experience /b in IT, including at least b5 years in senior leadership roles /b managing complex programs and/or enterprise data platforms in a Group or international environment. /liliProven track record in managing large-scale, multi-project transformation programs, ideally involving ERP, CRM, data platforms, or digital transformation. /liliStrong expertise in enterprise data architectures and distributed data systems (e.g., Hadoop, Spark, Kafka). /liliHands-on knowledge of Cloud Data Warehousing and Analytics platforms (e.g., Snowflake, Databricks, BigQuery, AWS Redshift). /liliSolid understanding of Data Governance, Data Quality, MDM, and regulatory compliance. /liliExperience with Data Modeling methodologies (Kimball, Inmon, Data Vault). /liliFamiliarity with Advanced Analytics, Machine Learning, GenAI, Agentic AI, and Data Science infrastructure. /liliMastery of project and program management methodologies and tools (PMP, PgMP, MSP; MS Project, Jira, Clarity). /liliStrong strategic vision, executive presence, and ability to influence senior stakeholders without direct authority. /liliExcellent leadership, communication, negotiation, and conflict resolution skills. /liliHigh level of rigor, organization, and resilience in complex, fast-paced environments. /liliFluent professional English is mandatory; Spanish and French are a plus. /li /ul

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