Associate Director, Analytics - San Antonio - KPMG US

Description

Associate Director, Analytics & Data Solutions

KPMG is currently seeking an Associate Director, Analytics & Data Solutions to join our Digital Nexus technology organization. This is a hybrid work opportunity.

Responsibilities

• Lead the technical design and development of solutions across the project lifecycle, translating architecture and business needs into scalable technology
• Collaborate with developers, architects, analysts, vendors, and resource partners to define best-fit solutions and assign resources for delivery success
• Oversee code reviews, unit testing, debugging, and defect resolution; support documentation and production implementation
• Drive development and operations of data management platforms, ensuring sustainable solutions for analytics and integration
• Manage vendor relationships to resolve issues, execute initiatives, and ensure compliance with contractual obligations
• Guide and supervise software construction, ensuring alignment with technical and process architectures

Qualifications

• Minimum eight years of recent, proven expertise across the full systems development life cycleplanning, analysis, design, build, testing, implementation, and operations with a focus on strategic solution delivery and continuous improvement
• Bachelor's degree from an accredited college or university is preferred
• Advanced ability to manage change and communicate effectively across teams, leveraging broad technical knowledge to drive incremental value
• Strong analytical and decision-making skills with experience in Agile methodologies and project management; adept at identifying patterns and generating innovative solutions; exceptional communication and presentation skills, with the ability to lead collaborative environments and deliver executive-level insights
• Subject matter expertise in Azure technologies including ADF, ADB, Key Vault, and cloud data platforms such as Databricks, Power BI, PySpark, SparkSQL, and integration tools like Informatica IPaaS, MuleSoft, and Python; familiarity with GenAI tools preferred
• Solid foundation in SQL and Microsoft Suite, with deep knowledge of data management disciplines including architecture, governance, modeling, and BI/Analytics
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

KPMG LLP and its affiliates and subsidiaries (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, KPMG 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 KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two 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. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role for which they are qualified that is also of interest to them.