• Design and implement large-scale data programs and analytics platforms that promote organizational intelligence
• Leverage robotic and intelligent automation technologies to transform business processes, augmenting human labor with automation to drive better outcomes with enhanced productivity
• Generate insights to catalyze growth and engage stakeholders using Science capabilities, Machine Learning and AI platforms, delivered via an alternative Studio model
• Define the AI strategy of a company in support of the new business models and realize improved business outcomes
• Operate Data and Analytics infrastructure and systems
• Provide capacity by embedding talent in our client organizations and build as a Service based subscription models at scale
• Build AI-enabled assets, IP addressing high value, and repeatable use cases.
• Reporting on the status of projects and tasks
• Ensuring timely generation and tracking of data queries
• Reconciliation of external data

Skills: Data Program Design, Robotic Process Automation, Machine Learning Insights, AI Strategy Development, Data Infrastructure Management, Talent Embedding, AI-Enabled Asset Creation, Project Reporting

• Engage in discussions with deal teams and clients to understand business problems and solution requirements
• Analyze the ‘As-Is’ landscape and provide recommendations on ‘To-be’
• Map Data-centric offerings to above business problems
• Develop the solution blueprint and scoping, estimation, and staffing in the deal-shaping process
• Drive Discovery activities and design workshops with client
• Lead strategic road-mapping and operating model design discussions
• Lead Technical and Data architecture discussions
• Drive solution presentations, orals and other client conversations
• Drive Program and Engagement Management
• Proactively participating in business development for new clients including workshops, presentations, proposals and generation of promotional materials.
• Supporting internal data management tools and activities.
• Sharing best practices, training and upskilling both internally and externally.

Skills: Client Engagement, As-Is Analysis, Data-Centric Mapping, Solution Blueprint Development, Discovery Activities Facilitation, Strategic Road-Mapping, Technical Architecture Leadership, Business Development Participation

• Supporting and leading data extraction, mapping, and conversion activities
• Work with Business and HR teams to collect data for mass loads, including data conversion
• Preparing mass load files in Success Factors-supported templates, collaborating with system vendors
• Responsible for the maintenance, troubleshooting and design of HR systems
• Partnering with Information Systems teams and HR Operations Service Delivery Teams on system updates, to ensure any amendments to requirements/processes are delivered
• Responsible for HR operations tools from a functional perspective and ensuring they are fit for purpose
• Support minor/major software and hardware upgrades and ensure that change management procedures are followed
• Responsible for the identification, testing and resolution of escalated incidents from frontline support teams and assisting with the command and control of major incidents and service outages
• Responsible for the provision of reporting and analytics across Key Deliverables
• Support the HR Systems and MI Team Leads and Global HR Systems and MI Leads with the delivery of the future HR systems landscape

Skills: Data Extraction, Data Mapping, Collaboration with HR Teams, Mass Load File Preparation, HR Systems Maintenance, System Update Collaboration, Operational Tools Management, Reporting and Analytics

• Maintaining and improving HRIS systems as well as identifying and bringing forward opportunities for improvement and new functionality as appropriate
• Ensuring that data held in HR systems is kept up to date and cleansed through the relevant data cleansing activity
• Perform and execute changes across the HR systems landscape as determined through the relevant change request channels
• Support the processing of all mass data uploads by collaborating with system vendors where it is appropriate to do so
• Manage data flow and understand the impact on any downstream systems – conducting an impact analysis to support this activity
• Collaborate with HR system vendors when system errors are identified or to successfully manage approved change requests and system upgrades
• Support in the development of system user training and ensure any changes to HR system usability are effectively planned and communicated
• Provide reporting and analytics to managers and the broader HR function to support decision-making
• Support compliance reporting for HR Operations
• Complying with all relevant security policies, quality policies, FCA regulations, pensions regulations and department development standards.

Skills: HRIS Maintenance, Data Cleansing, Change Execution, Mass Data Upload Support, Data Flow Management, Vendor Collaboration, User Training Development, Reporting and Analytics

• Planning, coordination and execution of actual data loads in alignment with the IFRS 17 closing calendar
• Monitoring completeness and consistency of data during all processing steps across FSRI, EDWH, SAS, FPSL, GT
• Tracking of validation rules and quality assurance measures related to the data processed
• Execution and controlling of late adjustments for actual data
• Escalation of processing issues that lead to qualitative limitations or time delays
• Coordination with IT of central and decentral data deliveries including coordination of respective data and interface changes
• Coordination of IFRS 17 relevant master data model changes across functions and systems
• Supporting the development of validation rules for Actuals data
• Supporting the implementation and maintenance of control reports that attributes and mappings are consistent and current
• Provides solutions which may set a precedent

Skills: Data Load Planning, Data Monitoring, Validation Rule Tracking, Late Adjustment Execution, Issue Escalation, Data Delivery Coordination, Master Data Model Management, Control Report Maintenance

• Experience within one or more data management areas, data modeling & design, data governance, data quality management, metadata management, reference & master data
• Experience in data management, or alternatively a background with data either from IT side (physical data), or from business roles (business data content)
• Excellent consultation skills and the ability to challenge different stakeholders and propose alternative solutions, when needed
• Experience in gathering business requirements and facilitating workshops with different types of stakeholders
• Fluent communication and presentation skills in Finnish and/or English
• Experience writing business requirements as JIRA stories 
• Experience working in Agile Scrum Kanban environments Strong data profiling and data analytics 
• Strong SQL writing experience (joins, unions, sub-queries) 
• Understanding pseudo SQL code and reverse engineering them to write requirements 
• Experience in gathering Documentation Data Analysis Data Profiling Data lineage metadata Agile Teradata SQL 
• Ability to shape, design and manage the execution of data changes

Qualifications: BA in Information Systems Management with 3 years of Experience

• Understand the Data Management responsibilities of MDM and ensure that appropriate governance and controls are in place across data governance, privacy and quality disciplines.
• Understand the data, technical, and business architecture strategies and ensure that MDM is compliant and any deviation is documented and subject to the appropriate governance.
• Having experience in Data Governance, Data Quality, and data migration.
• Good client-facing and consultative skills, ability to efficiently communicate with business and IT stakeholders, 
• Understand requirements, advise on data and analytical solutions establish link to business objectives, and consolidate these into solution and architecture designs
• Solid problem-solving skills and knowledge of the Cloud 
• Good knowledge of modern data management and analytical solutions, proven experience with one or more leading data integration
• Good knowledge of data warehousing and data lakes principles and modeling
• Design and build data integration processes for modern data analytical solutions
• Knowledge of Agile/Scrum delivery methodology, and practical experience of applying these principles for the design and delivery of data management and analytical solutions
• Knowledge of Azure, AWS analytical solution architectures, Snowflake

Qualifications: BS in Business Analytics with 4 years of Experience

• Experience in the Intelligence Community, leading complex, fast-paced projects
• Experience leading data or technology governance projects
• Experience within data-related roles in consultancy.
• Knowledge of data management concepts, theories and approaches (e.g. data governance, quality, master data management or metadata management etc.).
• Hands-on experience in working with data (e.g. SQL, data analysis, modeling, databases).
• Excellent communication and presentation skills.
• Proactive, able to work independently with strong attention to detail.
• Awareness of key concepts of Project Management
• Fluent in English and Czech or Slovak.
• Knowledge of Real-time data integration, Kafka 
• Knowledge of Advanced analytics, data bricks 

Qualifications: BA in Data Science with 2 years of Experience

• Experience with SAS Data Integration Studio and/or SAS Visual Analytics 
• Good at SQL queries/ scripts, logical and physical data models, Extract Transform Load (ETL) procedures, and reporting data structures.
• Experience in Visualization such as Tableau or QlikView or MS Power BI
• Proficient in MS SQL Server or Oracle or Big Data (Hadoop, Azure, AWS).
• Ability to understand client’s requirements, design, develop/ build, test and operationalize data management solutions.
• Familiar and interested in working with data and technologically-driven solutions.
• Good understanding of document control best practices, processes and solutions.
• Experience in AWS cloud services or equivalent and knowledge of cloud computing and tools.
• Knowledge of Data governance organizational and process 
• Experience in program execution, business analysis and change management

Qualifications: BS in Management Information Systems with 3 years of Experience

• Experience implementing data management and/or data governance functions in financial services, insurance, or similar industries.
• Strong knowledge and implementation experience around data management, data governance, data privacy management, data retention management, test data management, and data quality.
• Strong communication and collaboration skills, to partner with others and explain processes and results to people at all levels (from executive leadership to individual performers) technical and non-technical.
• Strong work ethic and commitment to bringing projects and issues to closure, driving for results and continuous progress.
• Resilient and agile mindset with the ability to manage change as we build a new team and evolve over time.
• Strong knowledge of data governance framework, industry standards, best practices, and related tools (i.e., Informatica Axon and EDC).
• Effective prioritization, including the ability to balance accuracy and timelines within the bigger picture.
• Strong organization, attention to detail, and project management skills to ensure quality standards and deadlines are met.
• Knowledge of financial services and insurance industries.
• Knowledge of data privacy laws (e.g., GLBA, GDPR, CCPA, CPRA)
• Knowledge of data impact on financial audit regulations like GAAP, IFRS, LDTI

Qualifications: BA in Computer Science with 2 years of Experience