Manager - Agentic AI Engineer in Data Analytics and Advisory

Role Overview: At PwC, as a Manager in the Data and Analytics team, you will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your role will be crucial in transforming raw data into actionable insights, enabling informed decision-making, and driving business growth. You will be involved in developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your responsibilities will include designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation. Key Responsibilities: - Implement data governance with tools such as Dataplex, security, and logging best practices to ensure compliance and data privacy. - Experience with data modeling, data warehousing, and ETL/ELT processes. - Build and optimize data warehouses and data lakes on BigQuery, Cloud Storage, and other GCP storage solutions. - Implement data integration, ingestion, and transformation workflows to support analytics and machine learning initiatives. - Collaborate with cross-functional teams to understand data requirements and deliver end-to-end data solutions. - Proficiency in programming languages such as Python, Pyspark, and SQL. - Mandatory skill sets include GCP Data Services like BigQuery, Dataflow, Pub/Sub, Dataproc, Dataplex, Cloud Storage, Data Catalog, Cloud Composer, Data Engineering, and Data Architecture. - Knowledge of Data Governance Frameworks: lineage, metadata management, data quality, security controls. - Preferred skill sets include experience building chatbots, copilots, or AI assistants. Qualifications Required: - Education: B.Tech / M.Tech / MBA / MCA - Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Master of Engineering - Mandatory years of experience: 8-12 - Required Skills: SAP Business Warehouse - Optional Skills: Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, and more. (Note: Additional details about the company were not provided in the job description) Role Overview: At PwC, as a Manager in the Data and Analytics team, you will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your role will be crucial in transforming raw data into actionable insights, enabling informed decision-making, and driving business growth. You will be involved in developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your responsibilities will include designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation. Key Responsibilities: - Implement data governance with tools such as Dataplex, security, and logging best practices to ensure compliance and data privacy. - Experience with data modeling, data warehousing, and ETL/ELT processes. - Build and optimize data warehouses and data lakes on BigQuery, Cloud Storage, and other GCP storage solutions. - Implement data integration, ingestion, and transformation workflows to support analytics and machine learning initiatives. - Collaborate with cross-functional teams to understand data requirements and deliver end-to-end data solutions. - Proficiency in programming languages such as Python, Pyspark, and SQL. - Mandatory skill sets include GCP Data Services like BigQuery, Dataflow, Pub/Sub, Dataproc, Dataplex, Cloud Storage, Data Catalog, Cloud Composer, Data Engineering, and Data Architecture. - Knowledge of Data Governance Frameworks: lineage, metadata management, data quality, security controls. - Preferred skill sets include experience building chatbots, copilots, or AI assistants. Qualifications Required: - Education: B.Tech / M.Tech / MBA / MCA - Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Master of Engineering - Mandatory years of experience: 8-12 - Required Skills: SAP Business Warehouse - Optional Skills: Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, and more. (Note: Additional details about the company were not provided in the job description)