36 Ppa Jobs

Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary : As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accentures platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | AccentureQualification Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Qualifications: Bachelors or Masters degree from a top-tier institute. 6-11 years of experience in physical design from product-based companies. Experience: Proven experience in managing complex subsystems and small teams. Proficiency in synthesis, place and route (PnR), and sign-off convergence, including Static Timing Analysis (STA) and sign-off optimizations. Job : Expertise in meeting demanding Power, Performance, and Area (PPA) requirements for complex subsystems/System on Chips (SoCs), place and route, and IP integration. Experience in low power design implementation, including Unified Power Format (UPF), multi-voltage domains, and power gating. Familiarity with ASIC design flows and physical design methodologies. Strong understanding of circuit design, device physics, and deep sub-micron technology. Experience working on multiple technology nodes in advanced processes. Proficiency in automation to drive improvements in PPA.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. Bachelors or Masters degree from a top-tier institute. 3 to 10 years of experience in physical design from product-based companies with some leadership experience. Experience: Proven experience in managing complex subsystems and small teams. Proficiency in synthesis, place and route (PnR), and sign-off convergence, including Static Timing Analysis (STA) and sign-off optimizations. Job : Expertise in meeting demanding Power, Performance, and Area (PPA) requirements for complex subsystems/System on Chips (SoCs), place and route, and IP integration. Experience in low power design implementation, including Unified Power Format (UPF), multi-voltage domains, and power gating. Familiarity with ASIC design flows and physical design methodologies. Strong understanding of circuit design, device physics, and deep sub-micron technology. Experience working on multiple technology nodes in advanced processes. Proficiency in automation to drive improvements in PPA.

Title : Staff/Senior Staff engineer - Systems Lead Power & Performance (Embedded System Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. JD- Systems Lead Power & Performance (Embedded System | Staff / Sr. Staff Engineer) Company - Division Qualcomm Technologies, Inc.- Platform Architecture Division Job PositionStaff / Sr. Staff Engineer Bachelors/ Masters with 10+ years Systems Engineering or related work experience Job Area Engineering - Systems Location Bangalore Educational Bachelor's/Masters/Doctorate degree in Engineering, Electronics & Communication / Micro Electronics Information Systems, Computer Science, or related field. Individuals who possess skills/experience in one or more of the following are requested to apply: Preferred QualificationsAreas of Expertise (the more the better): Working experience with Complex Embedded Systems, Mobile/IOT/Auto domains preferred. Expertise in fields such as power / performance use cases , system modeling, SOC Profiling, PPA tradeoffs, post silicon bring up, and product qual. Firm grasp of computer architecture and OS fundamentals Post Silicon System Validation of SOC Performance, Architecture Analysis and Feedback to future products. Analyzing the power-performance data for various CPU, GPU, AI workloads / benchmarks Conducting detailed workload characterization and sensitivity analysis Develop and enhance analysis tools and instrumentation to assist in analysis, identifying performance gaps and optimization options CPU microarchitecture including cache, Latency, BW analysis, etc. Linux/Android kernel development, device driver development and Android architecture experience Collaborate with the architecture team on power-performance trade-off analysis as part of product definition. Power and/or performance optimization, CPU, SOC SW DCVS/DVFS Governors exposure Working experience at System level, Linux kernel internals / system programming Collaborate with internal teams and external partners for analysis and optimizations Lab Hands-on with Power Data Acquisition/DAQs, Oscilloscope, JTAGs, ARM Developer Studio exposure Exposure to ADB shell, shell scripts, Python scripts, Understanding of Linux/android systems , automation scripts/environment Exposure to Git, Jira, Android and QTI tools Good communication skills, presentation skills and should manage his/her tasks independently Acts as a tech lead on projects and owns the outcome of the project. Advises multiple teams of engineers in the development of complex hardware designs, evaluating various design features to identify potential flaws or issues

Role & responsibilities As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Your contribution will involve the following but are not limited to: Provide expert valuation reports for a variety of purposes including mergers and acquisitions(M&A), financial reporting, taxation, corporate planning (decision support) and corporate governance. Deliver in-depth understanding of the value of each entity or asset involved in their transaction, along with relevant technical and industry knowledge, and a true knowledge of the specific factors driving each individual transaction. Help engagement teams advise boards, management and special committees to arrive at informed decisions, and help engagement teams in providing credible perspectives as to whether a proposed transaction is fair, demonstrating they have weighed advice from credible sources. Establish credibility with stakeholders by demonstrating subject matter expertise and knowledge. Contribute to pursuit teams and proposal development including innovative approaches and methodologies tailored to address specific client requirements. Manage Valuations teams, coaching and supporting team development and sharing technical knowledge. Assist and take part in various internal initiatives (such as digitization, industry specialization, etc.) and in business development Provide support to team members in valuation technical skills and industry knowledge Preferred candidate profile An interest in upskilling for a digital world and technology trends, an openness to learning new tools and adapting how you work Completed undergraduate degree with outstanding academic credentials Must possess a CA / MBA/ CFA qualification or an equivalent accounting or financial designation with 10-14 years of relevant experience The role requires a demonstrated ability to develop strong relationships with territory teams Proven ability to manage project workflows and deliver on time Proactive, takes ownership of processing and reviewing tasks and assignments, accepts responsibility for outcomes Experienced at preparing and/or coordinating complex written and verbal materials Experience as a team leader: supervising diverse teams to create an atmosphere of trust, seeking diverse views to encourage improvement and innovation and coaching staff including providing timely meaningful written and verbal feedback Knowledge of financial modelling

We are recruiting for a Consultant in the Corporate Finance - Valuation team. In this role, you will be expected to: Independently execute valuation engagements incl. PPA - ASC 805, goodwill and asset impairment analyses (ASC 350/360), valuations of stock options under ASC 718 and IRC •409A and audit reviews Perform financial and operational benchmarking Structure and write majority sections of valuation reports and memos, including business overview, industry overview and valuation sections Perform business valuation model reviews Review the work of/guide team members Build strong professional relationship with onshore teams through project work Qualifications for Internal Candidates Qualifications: CA / CFA / MBA (Specialization in Finance & Investment Management) Total Experience: The candidate must have 3 to 5 years of working experience in either Corporate Finance or valuation roles Preference to candidates with experience in Energy/O&G sector Command over financial statements and financial ratios Strong understanding of corporate finance principles and valuation techniques Good understanding of capital markets Strong analytical and problem-solving skills Strong business writing and verbal communication skills Command in using research databases such as Capital IQ, Thomson Reuters, among others Personal drive and positive attitude to deliver results within tight deadlines and in demanding situations Strong interpersonal skills to work effectively in a team and guide juniors whenever required Ability to multi-task and handle pressure situations

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips- the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world- like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of"science and engineering to make possible"the next generations of technology, join us to Make Possible® a Better Future. What We Offer Location: Bangalore,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Youll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers."We empower our team to push the boundaries of what is possible"”while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. Applied Materials is the leader in materials engineering solutions to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. Our innovations make possible„¢ the technology shaping the future. To achieve this, we employ some of the best, brightest, and most talented people in the world who work together as part of a winning team. Key Responsibilities Expertise in PDK enablement and library validation/automation. Hands-on experience with LVS/Parasitic extraction/standard cell characterization flows and methodologies Design/System level experience with DTCO and PPA analysis Hands-on expertise in TCL, Python, make and shell scripting Broad understanding of system design (product architecture, packaging, SRAM, DRAM, etc.) is a plus Strong understanding of the RTL2GDS concepts and methodology and experience with Synopsys/Cadence physical design tools (Fusion Compiler/Innovus) Knowledge of standard cell architecture and design tradeoffs with respect to PPA Proactively identify and act on new trends or developments in future technology nodes Ability to implement solutions and troubleshoot complex problems with limited or no supervision in area of expertise Creative thinking and ability to look ahead and anticipating future technology innovations/issues Ability to collaborate with internal stakeholders, customers and vendors Collaborate/participate in discussions to solve interdisciplinary technical issues in a cross-functional team environment Mandatory - PDK, DRC, LVS, Python, Physical Design Functional Knowledge Demonstrates depth and/or breadth of expertise in own specialized discipline or field Business Expertise Interprets internal/external business challenges and recommends best practices to improve products, processes or services Leadership May lead functional teams or projects with moderate resource requirements, risk, and/or complexity Problem Solving Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions Impact Impacts the achievement of customer, operational, project or service objectives; work is guided by functional policies interpersonal Skills Communicates difficult concepts and negotiates with others to adopt a different point of view Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Define and drive SoC Architecture with strong PPA (Power, Performance, Area) trade-off analysis. Lead IP selection and integration strategies for performance-driven designs. Architect and review Mixed Signal Designs and Multi-core Processor Subsystems. Collaborate across RTL to Physical Design teams ensuring sign-off quality deliverables. Coordinate with Physical Design (PD) teams for successful Tapeout activities. Ensure architectural alignment with foundry node requirements (across 28nm, 16nm, 7nm, etc.). Minimum 18+ years of experience post Engineering degree in EE or EC. Proven expertise in SoC design methodologies and architecture definition. Deep understanding of RTL development, integration, and backend handoff. Strong cross-functional collaboration experience with analog, PD, DFT, and software teams. Exposure to foundry-specific constraints and best practices across technology nodes.

Role & Responsibilities Drive customer acquisition by identifying and onboarding Commercial & Industrial (C&I) power consumers for group captive solar projects under the open access model in assigned geographies. Develop, manage, and grow a strong network of channel partners and consultants for consistent lead generation. Prepare and customize commercial proposals, tariff models, and term sheets, working closely with legal, risk and investment teams on PPA discussions and contract finalization. Conduct in-depth tariff assessment, including landed tariff and energy replacement calculation, analysis of banking regulation, contract demand restrictions, transmission / wheeling charges and losses across different states Lead business presentations and commercial discussions with CXOs, sustainability heads, and energy procurement leaders at target companies. Required Skills & Qualifications Education: Bachelors degree in Engineering, Energy Management, or an MBA. Graduates from reputed institutions such as NPTI, UPES, or similar will be preferred. Professional Experience: 3 to 10+ years of experience in the renewable energy sector, with a strong track record, especially in generating leads and closing C&I deals Technical Acumen: Deep understanding of: Open access regulatory framework for Central and State, CERC, SERC regulations OA charges, Transmission / Wheeling charges / losses, Energy billing Calculations Job Specification Opening for Assistant Manager / Associate Director - 2 roles Location : Flexible Why Join Us? Join our power sales team and help drive India's shift to clean energy. We offer opportunities for career growth and the chance to work on impactful projects.

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Job Description: As a digital ASIC R&D Engineer, you will play a vital role in addressing challenges with Performance, Power, and Area (PPA) scaling tradeoffs to qualify technology entitlement of advance process nodes. You will be responsible for research and develop methods to improve efficiency of digital ASIC design flow and chip quality/yield. The job scope includes design automation, post-silicon yield debug and data mining. Required Skills Coding with Python, Perl, TCL and/or C Strong fundamentals in digital design Working knowledge of digital VLSI implementation (netlist to GDS) with expertise in STA Expected Experience: 1 4 years of relevant industry experience Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [HIDDEN TEXT] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

About The Role Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary :As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accenture's platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as: Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | Qualifications Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

About The Role Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary :As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accenture's platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as: Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | Qualifications Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

About The Role Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary :As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accenture's platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as: Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | Qualifications Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

About The Role Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary :As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accenture's platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as: Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | Qualifications Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

About The Role Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary – Bengaluru, Secondary – Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary : As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accenture's platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as: Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs – POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | Accenture Qualifications Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

Hiring for one of the Big 4 Role Business Valuations Designation: AM Exp: 4-9 Years (Post Qualification) Education: CA/MBA Skills: PPA,GWI or 409A Location: Mumbai/Gurgaon(willing to relocate can apply) Looking for someone experience into intangible valuation with excellent communication skills Interested can share their resumes on nishi@jobpoint.co.in

${jobpostDetails.jobAd.sections.jobDescription.text } Qualification ${jobpostDetails.jobAd.sections.qualifications.text } Additional Information ${jobpostDetails.jobAd.sections.additionalInformation.text }

Roles & Responsibilities We are recruiting for an AM in the Corporate Finance - Valuation team. In this role, your responsibilities will include: Lead and coach a team of business valuation professionals Responsible for execution of end-to -end valuation engagements incl. PPA incl. PPA -ASC 805/IFRS3, goodwill and asset impairment analyses (ASC 350/360/ IFRS36), , valuations of stock options under IRC•409A and ASC 718/IFRS9409A and ASC 718/IFRS9 Manage workflow, delivery, team utilization and act as KGS point of contact for the onshore Geo(s)contact for the onshore Geo(s) Perform audit reviews and appraising third-party valuation reports Be responsible for the high-quality timely delivery of projects by self and the team members Be involved in recruitment, learning and development and performance management Build strong brand equity with onshore stakeholders Lead/contribute to at least one CF team level task force; actively lead team discussions/ CF events / knowledge sharing platforms Qualifications Qualifications: CA / CFA / MBA (Specialization in Finance & Investment Management) Total Experience: The candidate must have 5 to 8 years of working experience in either Corporate Finance or valuation roles Strong understanding of financial statements and financial ratios Good understanding of corporate finance principles and valuation techniques Strong analytical and problem-solving skills Strong team handling skills to effectively lead a team and guide junior colleague Advanced knowledge of MS Office (specifically, MS Excel, MS Word, and MS PowerPoint Command in using research databases such as Capital IQ, Thomson Reuters, among others Preferred Skills Personal drive and positive attitude to deliver results within tight deadlines and in demanding situations Effective written and verbal communication skills Good interpersonal skills to work effectively in a team

MBA/ any PG or Law Graduate Monitor load, manage Open Access, liaise with authorities like CSEB, DIC for approvals, handle subsidies, policy applications, exemptions, and online reporting.

Role & responsibilities Proficiency in financial modelling, including detailed 3 statement forecasting, multiple scenario analysis, capital structure modelling, LBO and merger modelling Knowledge on business valuation concepts including DCF, trading comps, and precedent transactions Analyzing company reporting documents in order to create pitch books, company profiles, information memorandums, sector reports, financial benchmarking, trading and transaction comps Adept in reading and understanding financial reports, IPO prospectus, 10-Qs, 10-Ks, etc. Knowledge of databases such as Bloomberg, CapIQ, Reuters, FactSet, and Mergermarket Good communication skills for regular client communication Preferred candidate profile 2-7 years of experience in PE/IB Exceptional analytical, numerical and deal support skills (particularly extensive financial modelling and IB skills)ideally CFA qualified Ability to work/manage multiple projects and meet demanding deadlines MBA, CA, CFA or an equivalent degree Perks and benefits

Our prestigious client is one of India's most important power infrastructure companies. They are at the top of Engineering, Procurement, and Construction (EPC), Renewable, asset ownership, and operations and maintenance services in the three industry segments of generation, transmission, and distribution. Job Summary: We are looking for a Manager - Regulatory Works to liaise with state agencies and DISCOMs, manage regulatory issues, and keep the company informed of any changes in regulations. The ideal candidate will assist in PPA-related issues and ensure compliance with all regulatory requirements. Key Responsibilities: Liaise with state agencies and DISCOMs to manage regulatory issues. Keep the company informed of any changes in regulations that may impact the business. Assist in PPA-related issues and ensure compliance with all regulatory requirements. Monitor and analyze regulatory trends and developments. Provide regular reports and insights on regulatory matters. Qualifications: Bachelor's degree in Law, Business Administration, or a related field. 10 years of experience in regulatory affairs, preferably in the Renewable Energy sector. Strong understanding of regulatory principles and practices. Excellent communication and negotiation skills. Ability to manage multiple projects and priorities.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Individuals who possess skills/experience in one or more of the following are requested to apply: Preferred Qualifications:Areas of Expertise (the more the better): Working experience with Complex Embedded Systems, Mobile/IOT/Auto domains preferred. Expertise in fields such as power / performance use cases , system modeling, SOC Profiling, PPA tradeoffs, post silicon bring up, and product qual. Firm grasp of computer architecture and OS fundamentals Post Silicon System Validation of SOC Performance, Architecture Analysis and Feedback to future products. Analyzing the power-performance data for various CPU, GPU, AI workloads / benchmarks Conducting detailed workload characterization and sensitivity analysis Develop and enhance analysis tools and instrumentation to assist in analysis, identifying performance gaps and optimization options CPU microarchitecture including cache, Latency, BW analysis, etc. Linux/Android kernel development, device driver development and Android architecture experience Collaborate with the architecture team on power-performance trade-off analysis as part of product definition. Power and/or performance optimization, CPU, SOC SW DCVS/DVFS Governors exposure Working experience at System level, Linux kernel internals / system programming Collaborate with internal teams and external partners for analysis and optimizations Lab Hands-on: with Power Data Acquisition/DAQs, Oscilloscope, JTAGs, ARM Developer Studio exposure Exposure to ADB shell, shell scripts, Python scripts, Understanding of Linux/android systems , automation scripts/environment Exposure to Git, Jira, Android and QTI tools Good communication skills, presentation skills and should manage his/her tasks independently Acts as a tech lead on projects and owns the outcome of the project. Advises multiple teams of engineers in the development of complex hardware designs, evaluating various design features to identify potential flaws or issues Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Bachelor"™s or Master"™s degree from a top-tier institute. 8-14 years of experience in physical design from product-based companies. Experience: Proven experience in managing complex subsystems and small teams. Proficiency in complete Netlist2GDS:Floorplan, place and route (PnR), and sign-off convergence, including Static Timing Analysis (STA) and sign-off optimizations. Hand on experience in lower technology nodes. Job Requirements: Expertise in meeting demanding Power, Performance, and Area (PPA) requirements for complex subsystems/System on Chips (SoCs), place and route, and IP integration. Experience in low power design implementation, including Unified Power Format (UPF), multi-voltage domains, and power gating. Familiarity with ASIC design flows and physical design methodologies. Strong understanding of circuit design, device physics, and deep sub-micron technology. Experience working on multiple technology nodes in advanced processes. Proficiency in automation to drive improvements in PPA. Managing and driving a small team for project execution and PPA targets

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Qualifications: Bachelor"™s or Master"™s degree from a top-tier institute. 2- 5 years of experience in physical design from product-based companies. Experience: Proven experience in managing complex subsystems and small teams. Proficiency in synthesis, place and route (PnR), and sign-off convergence, including Static Timing Analysis (STA) and sign-off optimizations. Job Requirements: Expertise in meeting demanding Power, Performance, and Area (PPA) requirements for complex subsystems/System on Chips (SoCs), place and route, and IP integration. Experience in low power design implementation, including Unified Power Format (UPF), multi-voltage domains, and power gating. Familiarity with ASIC design flows and physical design methodologies. Strong understanding of circuit design, device physics, and deep sub-micron technology. Experience working on multiple technology nodes in advanced processes. Proficiency in automation to drive improvements in PPA.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Bachelors or Masters degree from a top-tier institute. 8-14 years of experience in physical design from product-based companies. Experience: Proven experience in managing complex subsystems and small teams. Proficiency in complete Netlist2GDS:Floorplan, place and route (PnR), and sign-off convergence, including Static Timing Analysis (STA) and sign-off optimizations. Hand on experience in lower technology nodes. Job Requirements: Expertise in meeting demanding Power, Performance, and Area (PPA) requirements for complex subsystems/System on Chips (SoCs), place and route, and IP integration. Experience in low power design implementation, including Unified Power Format (UPF), multi-voltage domains, and power gating. Familiarity with ASIC design flows and physical design methodologies. Strong understanding of circuit design, device physics, and deep sub-micron technology. Experience working on multiple technology nodes in advanced processes. Proficiency in automation to drive improvements in PPA. Managing and driving a small team for project execution and PPA targets Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.