Data Analytics Architect

Hyderabad, India - Tech Hiring - 3107611 **Job Description**: - Below are the skillsets required - SAP MDG Consultant with implementations and support experience in MDG-F(0G). SAP MDG Skills: - Hands on experience on SAP Standard Master Data Models including 0G. - Having end-to-end MDG implementation experience. SAP MDG Technical Skills: - Hands on experience on Data Modeling, UI Modeling, Process Modeling. - SMT Mappings, Genil Model Enhancements. - FPM, Search Methods, Derivation - FPM & BAdi, BRF+ RBWF. - Data Replication - IDOC & Webservice, ABAP Skills: - Expertise in Data Dictionary. - Experienced in OO, FM & reports. - Having knowledge in SD, MM & PM Modules. - Having knowledge in OData Webdynpro Skills: - Experienced in WD Components - Experienced in WD-FPM Components - Hands on experience in using Assistance Class & Feeder Class. **_ Stakeholder Interaction_** **_ Stakeholder Type_** **_ Stakeholder Identification_** **_ Purpose of Interaction_** **_ Internal_** - Delivery manager/ Delivery Leadership team_ - Review of architectural process deployment in engagements, escalation management, issue resolution- Pre-sales team_ - For solutioning of a proposal_ - Practice teams/ SL leadership_ - To understand the different data migration_ - Sales Team_ - For client engagement, farming activities_ - Holmes engineering and roll out_ - For automation purpose_ - Talent Transformation Team, Competency Group_ - Plan and support delivery of Technical Trainings, knowledge sharing- HRBP_ - For hiring and managing resources_ **_ External_** - Vendors/ Partners_ - For strategic alignment and partnerships, training- Industry forums- Best practices, market intelligence, knowledge sharing_ **Display** - Lists 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 -**_ Expert_**: - Market Intelligence - Deep specialized understanding of the ecosystem practice, overall market & competition and nuances of delivery in that domain - **_Master_**: - Systems Thinking - Understanding of the Wipro system (interrelatedness, interdependencies and boundaries) and perform problem solving in a complex environment - **_Expert_**: - Leveraging Technology - In-depth knowledge of and mastery over ecosystem technology that commands expert authority respect - **_Master_**: - Asset reusability - ability to re-use the assets to ensure scalability and optimization **_- Expert_**: - Technical knowledge - architecture design principles, framework and documentation **_- Expert_** - **_ Behavioral Competencies _** - Strategic perspective - Technology Acumen - Innovation - Managing Complexity - Client centricity - Execution excellence - Change agility - Passion for results - Nurturing people - Executive presence **Deliver** **_ No._** **_ Performance Parameter_** **_ Measure_** 1.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 score- SAP Master Data Governance - MDG We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.