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Industry/Sector Not Applicable Specialism Assurance Management Level Manager Job Description & Summary Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. Youll work at the heart of global teams across Advisory, Assurance, Tax and Business Servicessolving real client challenges through connected collaboration. Well help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a differenceevery day. As a QA Engineer Manager within our Assurance practice, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. You will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. In this role at PwC Acceleration Center India, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. ResponsibilitiesLeading the design and development of AI systems to transform raw data into actionable insightsManaging complex data analysis and data wrangling to support AI model scalabilityImplementing machine learning libraries and algorithms to enhance data-driven decision-makingDeveloping and maintaining data infrastructure and pipelines for seamless data integrationUtilizing programming languages such as Python and C++ to build robust software solutionsOverseeing the deployment of AI and machine learning solutions at scaleCoaching and mentoring team members to leverage their strengths and deliver quality outcomesValidating project planning, budgeting, and execution to meet client expectationsAddressing conflicts and engaging in critical conversations with stakeholdersPromoting innovation and embracing change to drive business growth and successWhat You Must HaveAt least a Bachelor's degreeAt least 8 years of experienceOral and written proficiency in English requiredWhat Sets You ApartPreference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and RoboticsAt least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentialsDemonstrating proficiency in AI implementation and machine learning librariesUtilizing advanced data modeling and data integration techniquesExcelling in complex data analysis and pattern recognitionLeading teams in developing innovative AI solutionsEmbracing change and fostering a culture of continuous improvementTravel RequirementsJob Posting End Date .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.