Director, Data Architecture

Key Skills

Algorithms, Data Architecture, Data Governance, Data Manipulation, Data Privacy, Data security, Data Visualization, Effective communication skills, Machine learning techniques, PowerBI, Python Programming, SQL

Job Description

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Working Mother Magazine, Diversity Inc. and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking a Director, Data Engineering to join our Audit Technology organization.

Responsibilities:

• Act as a product owner responsible for owning and driving the strategy, vision, and execution of various strategic data transformation initiatives
• Collaborate with stakeholders across the firm in identifying and prioritizing data projects which align to the Audit business needs
• Liaise with cross-functional teams to understand their data requirements; provide data engineering support to build data pipelines, data preparation and integration
• Identify and evaluate leading products and technologies that can automate tasks and improve process efficiencies
• Work with stakeholders to design and implement governance frameworks and products related to data quality, metadata management and datasets

Qualifications:

• Minimum fifteen years of recent, progressive experience as a Product Owner, Data Product Manager, or similar role
• Bachelor's or advanced degree from an accredited college or university in computer science, accounting, auditing, business, or a related field
• Strong understanding of data architecture, data governance, and data integration with a familiarity with machine learning concepts and algorithms
• Proficiency in data manipulation tools and languages such as SQL or Python (200TEC)
• Excellent communication skills and the ability to collaborate with cross-functional teams
• Experience with data visualization tools for example, Power BI; knowledge of data privacy and security best practices is a plus

KPMG complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, the firm is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year the firm publishes a calendar of holidays to be observed during the year and provides two firmwide breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday.

Follow this link to obtain salary ranges by city outside of CA: 

California Salary Range: $164100 - $344300