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Data Analytics Architect
vor 1 Monat
Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovationAssess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategyCreate data strategy and road maps for the Reference Data Architecture as required by the clientsEngage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change requestEnsure that the data storage and database technologies are supported by the data management and infrastructure of the enterpriseDevelop, communicate, support and monitor compliance with Data Modelling standardsOversee and monitor all frameworks to manage data across organizationProvide insights for database storage and platform for ease of use and least manual workCollaborate with vendors to ensure integrity, objectives and system configurationCollaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organizationPresenting data repository, objects, source systems along with data scenarios for the front end and back end usageDefine high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processesKnowledge of all the Data service provider platforms and ensure end to end view.Oversight all the data standards/ reference/ papers for proper governancePromote, guard and guide the organization towards common semantics and the proper use of metadataCollecting, aggregating, matching, consolidating, quality- assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and controlProvide solution of RFP’s received from clients and ensure overall implementation assurance
Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectivesAnalyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data
Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technologyDefine and understand current issues and problems and identify improvementsEvaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughoutUnderstand the root cause problem in integrating business and product unitsValidate the solution/ prototype from technology, cost structure and customer differentiation point of viewCollaborating with sales and delivery leadership teams to identify future needs and requirementsTracks industry and application trends and relates these to planning current and future IT needsBuilding enterprise technology environment for data architecture management
Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processesEvaluate all the implemented systems to determine their viability in terms of cost effectivenessCollect all the structural and non-structural data from different places integrate all the data in one database formWork through every stage of data processing: analysing, creating, physical data model designs, solutions and reportsBuild the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practicesImplement the best security practices across all the data bases based on the accessibility and technologyStrong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG)Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration
Enable Delivery Teams by providing optimal delivery solutions/ frameworks
Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisorDefine database physical structure, functional capabilities, security, back-up and recovery specificationsDevelops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive resultsMonitor system capabilities and performance by performing tests and configurationsIntegrate new solutions and troubleshoot previously occurred errorsManages multiple projects and accurately reports the status of all major assignments while adhering to all project management standardsIdentify technical, process, structural risks and prepare a risk mitigation plan for all the projectsEnsure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teamsRecommend tools for reuse, automation for improved productivity and reduced cycle timesHelp the support and integration team for better efficiency and client experience for ease of use by using AI methods.Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teamsEnsures architecture principles and standards are consistently applied to all the projectsEnsure optimal Client Engagement
Support pre-sales team while presenting the entire solution design and its principles to the clientNegotiate, manage and coordinate with the client teams to ensure all requirements are met
Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisorCompetency Building and Branding
Ensure completion of necessary trainings and certificationsDevelop Proof of Concepts (POCs), case studies, demos etc. for new growth areas based on market and customer researchDevelop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc.Conducting workshops for all the stakeholders, creating content, e-learning courses and ways for knowledge transfer with a platform for all the data related sourcesAttain market referencability and recognition through highest analyst rankings, client testimonials and partner creditsBe the voice of Wipro’s Thought Leadership by speaking in forums (internal and external)Mentor developers, designers and Junior architects in the project for their further career development and enhancementContribute to the architecture practice by conducting selection interviews etc
Team Management
Resourcing
Anticipating new talent requirements as per the market/ industry trends or client
requirementsHire adequate and right resources for the team
Talent Management
Ensure adequate onboarding and training for the team members to enhance capability & effectivenessBuild an internal talent pool and ensure their career progression within the organization
Manage team attritionDrive diversity in leadership positionsPerformance Management
Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reportsEnsure that the Performance Nxt is followed for the entire team
Employee Satisfaction and Engagement
Lead and drive engagement initiatives for the teamTrack team satisfaction scores and identify initiatives to build engagement within the team
Stakeholder InteractionStakeholder TypeStakeholder IdentificationPurpose of InteractionInternalDelivery manager/ Delivery Leadership teamReview of architectural process deployment in engagements, escalation management, issue resolutionPre-sales teamFor solutioning of a proposalPractice teams/ SL leadershipTo understand the different data migrationSales TeamFor client engagement, farming activitiesHolmes engineering and roll outFor automation purposeTalent Transformation Team, Competency GroupPlan and support delivery of Technical Trainings, knowledge sharingHRBPFor hiring and managing resourcesExternalVendors/ PartnersFor strategic alignment and partnerships, trainingIndustry forumsBest practices, market intelligence, knowledge sharingDisplayLists the competencies required to perform this role effectively:Functional Competencies/ Skill
Domain/Industry Knowledge - Awareness and knowledge of broad economic, demographic, technological and global trends within own ecosystem -
ExpertMarket Intelligence - Deep specialized understanding of the ecosystem practice, overall market & competition and nuances of delivery in that domain -
MasterSystems Thinking - Understanding of the Wipro system (interrelatedness, interdependencies and boundaries) and perform problem solving in a complex environment -
ExpertLeveraging Technology - In-depth knowledge of and mastery over ecosystem technology that commands expert authority respect -
MasterAsset reusability - ability to re-use the assets to ensure scalability and optimization
- ExpertTechnical knowledge - architecture design principles, framework and documentation
- Expert
Competency LevelsFoundationKnowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance.CompetentConsistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well.ExpertApplies the competency in all situations and is serves as a guide to others as well.MasterCoaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognised within the entire organization.Behavioral Competencies
Strategic perspectiveTechnology AcumenInnovationManaging ComplexityClient centricityExecution excellenceChange agilityPassion for resultsNurturing peopleExecutive presence
DeliverNo.Performance ParameterMeasure1.Support sales team to create wins% of proposals with Quality Index
>7, timely support of the proposals, identifying opportunities/ leads to sell services within/ outside account (lead generation), no. of proposals led2.Delivery supportCSAT, delivery as per cost, quality and timelines, Identify and develop resuable components, utilization %, Recommend tools for reuse, automation for improved productivity and reduced cycle times, # of reusable components3.Capability development% trainings and certifications completed, increase in ACE certifications, thought leadership content developed (white papers, Wipro PoVs)4.Practice BuildingIdentifying opportunities for architects in the account and outside through known contacts, Contribute towards domain and technology accelerator kits, Mentoring junior architects5.Team ManagementTeam attrition %, Employee satisfaction scoreSAP Datasphere#J-18808-Ljbffr
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