Financial Services, Advisory Manager - Test Data Management Architect, Testing Innovation and Automation
Compensation: $80,375.00 - $151,690.00 /year *
Employment Type: Full-Time
Industry: Financial Services - Insurance
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Financial Services, Advisory Manager- Test Data Management Architect, Testing Innovation and AutomationEY is the only professional servicesfirm with a separate business unit ( FSO ) that is dedicated to the financialservices marketplace. Our FSO teams have been at the forefront of every eventthat has reshaped and redefined the financial services industry. If youhave a passion for rallying together to solve the most complex challenges inthe financial services industry, come join our dynamic FSO team!The Advisory Testing team works with some of the world s best-known largedomestic and global financial institutions, broker-dealers, foreign bankingorganizations, asset management firms and insurance companies who look to us toassist them with IT Quality Transformation & Application Test Deliverychallenges. The OpportunityYou ll be a part of a verycollegiate environment that promotes diversity of opinions and helps incollaboration. Together, we will help ourclients to drive transformational change the way the client deliversapplication testing services in its organization. You ll be given all the skills, knowledge and opportunities to progress andbecome ready to build a better working world for our people, our clients andthe communities that support us.Your Key ResponsibilitiesEverything you ll dowill come back to providing exceptional testing subject matter expertise andsolving complex problems that make a difference for our clients. Colleagues and clients from a diverse array of backgrounds will look to youfirst for answers, so you ll be a high-profile contact when it comes toresolving complex issues. As you build your knowledge and experience, you llbecome a credible advisor, influencing clients and engagement teams onresolutions that will impact entire industries.Contribute and lead teams to grow our technical datamanagement capabilities for new and existing clientsBuild new test data management assets and capabilitiesleveraging the latest technology trends to integrate with existingautomation and data analytics assetsDefine and develop generation, masking, sub-setting& virtualization solutions across testing cycles to cater to the testdata needs across SDLC Work along with Quality Engineer, Architects and AppDev partners to maximize the usage of test data solutions to Shift left E.g. Early testing from unit phase, Service virtualization adoption,Automation at Component/Integration levels Planning, discovery, design, development, andmaintenance of test data using appropriate test data management tools andtechniques.Develop comprehensive test data management strategiesand plans to enable provision of on demand right sized, secured productionlike test data into lower level test environmentsShould be well versed with data masking, sub-settingand synthetic data generation concepts as well as discover, profile,transform, enrich, cleanse, extract, load, validate, refresh, reset,archive, purge test dataProficient in using standard data fabrication/managementtools such as CA TDM, IBM Optim, etc. and automation tools, SQL scripts,jobs and programming languages to provide right sized, reusable and securetest data, resolving test data related issues, including defects and dataload and masking issuesResponsible for spinning up virtual data containers,provisioning data to enable CI/CD pipelineResponsible for generating bounded data for edge casesLead the design and implementation of self-servicecapabilities - enable testers, developers, and product owners to reserve,mine and provision data. Identify opportunities to automate data provisioningacross various phases of software testing life cycle and coordinate onvirtualization of test environments to support phase level (unit,component, integration) testingLiaise with the Value Stream Architects and TestEngineers to discuss the current state and identify continuous improvementopportunities and dependencies in Value Stream level Quality EngineeringprocessHold periodic quality review meetings with Value Streamrepresentatives and System teams to discuss test data pain points,bottlenecks, process failures, and other roadblocksCoordinate with other Quality Engineers across ValueStreams to understand areas outside of competency and share informationregarding common themes, new data management solutions, etc.Skills and attributes for successWorking with clients to drive transformational changein the way they deliver application development and testing services intheir organizationsQuality engineering mindset with a passion to learnbusiness architecture and domainGood understanding of Agile, Safe, CI/CD methodologiesGood understanding of Test Data management capabilitiesand techniques data masking/subset, data profiling, data generation,data virtualization, etc.Hands on experience with handling and programmingstructured data sources Oracle, MySQL, Terradata, GreenPlum, DB2, VSAM,EBCIDIC, etc.Good background on programming languages - Java, SQL,VB, .NET, etc. Knowledge of scripting languages Python, Ruby,Jscript, etc.Good understanding of automation techniques and tools(Selenium, Cucumber, Appium, etc..) is preferred.Exposure to Test data management tools like CA TDM, IBMOptim, Delphix is preferredKnowledge on ETL techniques, Hadoop, Data analytics,Big data is an advantageUnderstand data security requirements data at rest,data in motion, etc.Knowledge of orthogonal testing and data generationtechniquesUnderstand data patterns analyzing unstructured datasources app server logs, app dynamics, etc.Planning, implementing and quality assurance for largecomplex testing projects to include test automation, performanceengineering, test data management/analytics and/or innovative uses oftechnology such as machine learning or data analytics to enhance testingefficiency.Coaching team members with a goal of fostering aninnovative and inclusive team-oriented work environmentSharing your knowledge and developing engagement toolsand enablers to build capability for the practiceDeveloping client relationships acrossmultiple levels and support sales effortsTo qualify, you must haveBachelor's degree in Computer Science, Engineering,Accounting, Finance or a related field and approximately 5 years of relevantwork experienceExcellent collaboration and teaming skills in diverseenvironmentsAt least 3-5 years in developing test data managementstrategy in accordance to data governance policies Technical competency (3-5 years) in discovering test data byanalysis of business flows, system integrations, data architectures,business data objects, business data rules and data entities andrelationships At least 4 years inidentifying and masking sensitive test data to meet security requirementsand business data rules of integrated systemsWe would expect for you to be available to traveloutside of your assigned office location at least 80% of the time, pluscommute within the region. Successful candidates must work in excess ofstandard hours when necessary. A valid passport is requiredIdeally, you ll also haveTechnical competency experience with Overall SDLCmethodologies, Test Strategy & Operating Model Development, TestingCenter of Excellence/IT Transformation Program Management, Test AutomationFramework Architecture, Agile Test Management, User Acceptance TestCoordination, IT Organizational Change Management, Performance TestingProgram Management, Customer Relationship Management, Enterprise ResourcePlanning, Enterprise Data Management, IT Life cycle Management or ITDelivery ManagementExperience with Hadoop, Data analytics, Big data andsetting up Data LakesApproximately 2 year of financial services experience (Capital Markets, Wealth and Investment Management,Banking, Mortgage, Insurance) also including prior consultingexperienceRelevant industry certification such as, CISSP, CISM,CISA, CBCP, ITIL, ISTQB, PMP or other specialized IT certificationsA go-getter attitude, passion to constantly learn,improve and perform at the highest levelWhat we look forWe re interested in professionalswith a genuine interest to contribute to the growth of the Testing practice.You can expect plenty of autonomy and variety in this role, so you ll also needthe ability to be nimble, take initiative and seek out opportunities to improveour current relationships and prioritize participation in practice initiativesthat will generate a long term pipeline of sales for the firm. If you reserious about progressing and ready to take on some of our clients mostcomplex issues, this role is for you.What working at EY offers A collaborative environment where everyone workstogether to create a better working world Excellent training and development prospects, boththrough established programs and on-the-job training An excellent team of senior colleagues, dedicated tomanaging and varying your workload Support, coaching and feedback from some of the mostengaging colleagues aroundOpportunities to develop new skills and progress yourcareerThe freedom and flexibility to handle your role in away that s right for youAbout EYAs a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Make your mark. Apply today.EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
Associated topics: data analyst, data architect, data center, data engineer, data integration, data scientist, data warehouse, data warehousing, etl, hbase
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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