Role: Analytics Engagement Manager, Manufacturing

Location: Austin, Texas, USA 2-3 days Hybrid
Trave: Less than 25% travel

Industry Needed: Retail energy and manufacturing (Automative preferred)

Duration: Full Time-Permanent Role (NO C2C/C2H/1099/W2)

Work Authorization: This role is not eligible for company sponsorship now or in future

Job Description:

We are seeking an accomplished analytics leader to guide the strategic evolution of our enterprise manufacturing analytics function. In this role, you will define and operationalize the end-to-end analytics vision-driving data-informed decisions across product performance, operational efficiency, customer experience, and growth initiatives. You will lead a high-performing team of Product Analysts and Data/BI Engineers, elevating analytical maturity while building scalable solutions that unlock measurable impact across the business.

Key Responsibilities:

Set the Analytics Vision: Define and execute the enterprise analytics strategy, ensuring alignment with organizational objectives and driving measurable business outcomes.

Lead and Mentor: Guide a team of Product Analysts and Data/BI Engineers, strengthening analytical rigor, solution craftsmanship, and professional growth.

Partner and Advise: Collaborate with business stakeholders to uncover requirements, shape problem statements, and recommend best-in-class data and technology solutions.

Translate to Action: Convert business needs into structured analytical workstreams, ensuring clarity of scope, prioritization, and delivery.

Influence Through Insight: Leverage data storytelling, behavioral analytics, and cross-functional collaboration to embed a data-driven mindset across Product, Marketing, Engineering, and Design.

Orchestrate Solution Delivery: Oversee the full lifecycle of data-driven solutions-from research and ideation to design, development, testing, and deployment-ensuring scalability and adoption.

Measure What Matters: Establish, monitor, and evolve KPIs for product and operational initiatives, presenting insights that guide decisions at both operational and executive levels.

Advance Analytical Innovation: Develop new analytical frameworks, statistical techniques, and predictive models to deepen understanding of product performance and customer journeys

Qualifications:

Bachelor's degree in engineering: Data Science, Computer Science, Statistics, Business Analytics, or related field; Master's degree preferred but not required

10+ years' of experience with 6+ years' professional experience working in analytics' space, working with a manufacturing client or adjacent consumer industries like Retail/ Energy

3+ years of people leadership or informal mentorship of analytical teams

Strong analytics focus on product, growth, project management

Extensive knowledge of the manufacturing space including different sub-domains will be preferred

Sound knowledge of applied statistics, experimental design, data science techniques

Good SQL knowledge and experience, authoring queries working with variety of data platforms, and business intelligence systems / visualization tools (e.g., PowerBI/ Tableau)

Experience with cloud-based technologies like Azure and Databricks

Excellent communication skills, including the ability to clearly and effectively communicate and present analysis findings to stakeholders at all levels. Must be adept at translating analysis into cohesive, concise insights

Close attention to detail and a commitment to accuracy.