Role Proficiency:

Owns the overall delivery providing expert consultancy to developers and leads in the area of specialization; ensuring process level and customer level compliance.

Outcomes:

     Define and evaluate standards and best practices for the technology area of expertise      Collaborate with architects by helping them in choosing the technology tools for solution proposals.      Proactively suggest new technologies for improvements over the existing technology landscape.      Leads technical consultancy assignments which involve specialists from various disciplines and takes responsibility for the quality timely delivery and appropriateness of the team’s recommendations      Make recommendations on how to improve the effectiveness efficiency and delivery of services using technology and methodologies      Mentor Specialist-I in such a way that they can progress to the next level of growth.      Conduct and contribute in customer business review meetings. Influence and improve customer satisfaction      Review and sign-off reports.      Set FAST goals and provide feedback to FAST goals of mentees   Review participate in RFP defense meetings.   Responsible for overall delivery to the customer. Management of trainings skill matrix tracking and attrition

Measures of Outcomes:

     Adherence to embedded engineering process and standards (coding and quality standards)      Defined productivity standards for multiple projects      Adherence to schedule      On time completion of mandatory compliance trainings and certifications      Innovativeness (in terms of how many new ideas/thought processes/standards/best practices he/she has come up with)      Define and enforce quality and productivity standards of deliverables      Percent of voluntary attrition Cost effective solution deployment.      Adhere to organizational policies and processes Create and own business opportunities as per organization benchmark

Outputs Expected:

Design:

Guide and own the complex Embedded design architecture/LLD
sequence/use case / flow diagrams; linking to customer requirements.

Proposition:

Own the Proposal elicitation
RFQRFP and finalization. Provides reliable solutions guidance to a variety of problems

Develop:

Design the embedded SW and code as per design patterns
coding standards
templates and checklists. Define and maintain technical standards and best practices

Test:

Suggest
guide testing strategies and approaches.

Document:

Own the templates
checklists
guidelines
standards for design/process/development Own the deliverable documents – design documentation
requirements
test cases and results

Configure:

Implement and monitor configuration process

Status Reporting:

Review
address project risks and rewards as per organization standards.

Quality:

Own design reviews
add value
and take responsibility for the design and overall quality of the embedded software

Release:

Own customer release process and packages.

Estimate:

Own project estimates
effort
and resource planning for projects kick-off. Own documents on the technical side of the project schedule with estimates and identified risks

Interface with Customer :

Work closely with customer architects for finalizing design Proactively influence customer thought process Consider NPS Score of customer and delivery performance

Manage Project:

Technically oversee and taking ownership of end to end project lifecycle

Assists others in resolving complex technical problems:

Manage all aspects of problem management activities
investigating the root cause ofrnproblems and recommends SMART (specific
measurable
achievable
realistic
timely)rnsolutions.

Development and review of Standards & Documentation:

Define software process improvement activities and communicate them to a range of individuals
teams and other functions

Leading Complex Projects:

Leads the technical activities in a significant or complex project or portfolio of projects; accountable to the technical engineer or project manager or portfolio manager for the delivery and quality of technical deliverables.

Certifications:

Forecast the roadmap for future technical certifications

Skill Examples:

Ability to provide expert opinions to business problems      Proactively identify solutions for technical issues      Ability to contribute / support Architects.      Ability to create technical evaluation procedures      Coaches and leads others in acquiring knowledge and provides expert advice      Ability to translate conceptual solutions to technology solutions by choosing the best technical tools      Break down complex problems into logical components      Interface with other teams designers and other parallel practices      Create and articulate impactful technical presentations   Follow high level business etiquette in emails and other business communication   Build confidence with customers by meeting the deliverables on time with a quality result   Ability to design a new system from scratch   Capability to take up reengineering of existing systems by understanding the functionality   Capability to estimate and present with client   Ability to contribute to Idea and innovations   Ability to maintain high motivation levels and positive dynamics   Ability to develop and compliance with financial plans and budgets    Ability to impact and influence    Talent for customer relationship building    Ability to do Account Strategy planning  Skill in optimizing project portfolio timelines and delivery objectives by achieving consensus on stakeholder priorities 

Knowledge Examples:

    Knowledge on design and code Embedded C C++ programming (OOP) Java and STL for product level.      Knowledge to create and execute one or more of the following domains:      Fuse / Power domains / Pre-OS design / OS enabling / HAL /Security crypto engines.      Knowledge of Linux / Android kernel patching Back porting kernel patches and OOT merging Upstreaming to community      Experience in analysing complex software systems and de-compose it in context of architecture view      Knowledge on reverse engineer source code written in C / C++ and generate requirements write equivalent code in a higher level language.      Knowledge to configure diagnose troubleshoot and support AUTOSAR (MICROSAR) embedded software system (e.g. OS RTE and .arxml generation BSW modules) as well as application software components.      Debugging tools like DPO/DSO MSO Protocol analyser Network analyser Audio analyser Video analyser Spectrum analyser and JTAG Emulators      Comprehension of OS Scheduler Pre-emptive Round robin & Cooperative scheduling related work   Knowledge on SW development in area of CAN Diagnostics Vehicle Functions etc.   Knowledge on select right IoT & IO protocols as per problem statement.   Understanding of safety critical quality standards (MISRA ISO26262 EN50128).   Knowledge on motor controller FW PLDC Controller AC Controller domains. Familiar with hardware schematics and design/implement associated embedded software.

Additional Comments:

Role Proficiency: Provide expertise on data analysis techniques using software tools. Under supervision streamline business processes. Outcomes: Design and manage the reporting environment; which include data sources security and metadata. Provide technical expertise on data storage structures data mining and data cleansing. Support the data warehouse in identifying and revising reporting requirements. Support initiatives for data integrity and normalization. Assess tests and implement new or upgraded software. Assist with strategic decisions on new systems. Generate reports from single or multiple systems. Troubleshoot the reporting database environment and associated reports. Identify and recommend new ways to streamline business processes Illustrate data graphically and translate complex findings into written text. Locate results to help clients make better decisions. Solicit feedback from clients and build solutions based on feedback. Train end users on new reports and dashboards. Set FAST goals and provide feedback on FAST goals of repartees Measures of Outcomes: Quality - number of review comments on codes written Data consistency and data quality. Number of medium to large custom application data models designed and implemented Illustrates data graphically; translates complex findings into written text. Number of results located to help clients make informed decisions. Number of business processes changed due to vital analysis. Number of Business Intelligent Dashboards developed Number of productivity standards defined for project Number of mandatory trainings completed Outputs Expected: Determine Specific Data needs: Work with departmental managers to outline the specific data needs for each business method analysis project Critical business insights: Mines the business’s database in search of critical business insights; communicates findings to relevant departments. Code: Creates efficient and reusable SQL code meant for the improvement manipulation and analysis of data. Creates efficient and reusable code. Follows coding best practices. Create/Validate Data Models: Builds statistical models; diagnoses validates and improves the performance of these models over time. Predictive analytics: Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis Prescriptive analytics: Attempts to identify what business action to take Code Versioning: Organize and manage the changes and revisions to code. Use a version control tool for example git bitbucket. etc. Create Reports: Create reports depicting the trends and behaviours from analyzed data Document: Create documentation for worked performed. Additionally perform peer reviews of documentation of others' work Manage knowledge: Consume and contribute to project related documents share point libraries and client universities Status Reporting: Report status of tasks assigned Comply with project related reporting standards and processes Skill Examples: Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching. Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail. Critical Thinking: Data Analysts must review numbers trends and data to come up with original conclusions based on the findings. Presentation Skills - facilitates reports and oral presentations to senior colleagues Strong meeting facilitation skills as well as presentation skills. Attention to Detail: Vigilant in the analysis to determine accurate conclusions. Mathematical Skills to estimate numerical data. Work in a team environment Proactively ask for and offer help Knowledge Examples: Knowledge Examples Database languages such as SQL Programming language such as R or Python Analytical tools and languages such as SAS & Mahout. Proficiency in MATLAB. Data visualization software such as Tableau or Qlik. Proficient in mathematics and calculations. Efficiently with spreadsheet tools such as Microsoft Excel or Google Sheets DBMS Operating Systems and software platforms Knowledge regarding customer domain and sub domain where problem is solved