AVP Data Product and Engineering

GM Financial•Irving, TX

21h•Hybrid

About The Position

This role leads the strategy, roadmap, and delivery of enterprise data products, leveraging modern cloud technologies to drive business value, analytics, and data-driven decision-making across the organization. The successful candidate will collaborate with senior stakeholders, engineering teams, and vendors to optimize GMF’s data ecosystem, establish performance metrics, and guide the adoption of innovative data management and transformation solutions.

Requirements

Significant experience in a large and complex business environment
Advanced knowledge of data product management best practices
Strong expertise in cloud technologies, such as AWS, Azure, or Google Cloud, including infrastructure-as-code, containerization, and serverless architectures
Extensive knowledge of data engineering concepts, tools, and frameworks, including data warehousing, ETL/ELT processes, and data lakes
Ability to understand and relate business processes from a technical and functional standpoint
Strategic thinking and planning - Proactive and anticipatory in their thinking
Implementation experience on large data/digital transformation programs in a public/private cloud ecosystem, with a focus on data-lake and data warehouses
Experience running technology implementation projects using the Agile/hybrid agile methodologies in large organizations
Experience gathering business requirements, using industry standard business intelligence tools to extract data, formulate metrics, and build reports
Ability to interact with staff at all levels
Excellent writing and speaking skills
Ability to effectively lead, organize, and supervise
Ability to work directly with senior level management
Experience with large data sets and embedded reporting solutions
Experience with strategic planning, product road mapping, and business case development
Highly organized and able to prioritize and work to tight deadlines
Able to simplify and improve inefficient or unnecessarily complex processes
Ability to be flexible to working locations, working hours and international travel to support a global business
Working effectively within an AI enabled environment: Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
Skills in evaluating AI outputs for accuracy, compliance, and bias
Experience integrating AI into workflows to improve efficiency or insights
Familiarity with AI assisted research, summarization, and content generation
Understanding of responsible AI use, including ethics and data protection
7-10 years of progressively responsible experience in Information Technology required
5-7 years of product management in data experience required
High School Diploma or equivalent required
Bachelor’s Degree in Information Technology or equivalent experience required

Nice To Haves

Master’s Degree management or leadership experience preferred

Responsibilities

Develop and lead the data product roadmap to deliver on the overall business development objectives by defining stories and prioritizing the backlog
Prepare & deliver product strategy, roadmap, and business case opportunities to senior, executive, and customer stakeholders
Be an expert in Data Software Engineering with modern cloud data technologies and lead vendor and FTE engineering resources
Guide the product portfolio in the adoption & usage of state-of-the-art data management, transformation, and analytics solutions
Develop frameworks for repeatable process(es) as it relates to testing, source data remediation etc. that can be leveraged for a cloud data migration
Understand program objectives and ensure key technology decisions are aligned with these objectives
Develop a clear understanding of GMF’s data ecosystem - where the data comes from, how it gets processed & stored, and what it's used for
Guide the product portfolio in the adoption & usage of state-of-the-art data management, transformation, and analytics solutions
Collaborate with other product and Data Engineering teams on customer & product research activities. Will at times, include customer, market, or industry engagements such as phone calls, customer meetings, webinars, or conferences
Establish & manage to metrics for product & roadmap outcomes measurement
Establish and track key performance indicators (KPIs) to measure the effectiveness of engineering initiatives
Regularly report progress and provide recommendations for improvements to senior leadership
Act as key liaison/relationship manager across all functional areas, including business units, and outside vendors