Engineering Leader - CPG

About Us

The Math Company  (Math Co®) is a global Enterprise AI and Analytics company trusted by Fortune 500 and Global 2000 enterprises for data-driven decision-making. Founded in 2016, Math Co builds custom AI and advanced analytics solutions that solve real business problems through an innovative hybrid model. Our proprietary platform, Nucli

OS, provides pre-built workflows and reusable plug-and-play modules that enable connected intelligence with lower TCO.

At Math Co, we foster an open, transparent, and collaborative culture with no barriers, making Math Co a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark’.

We are seeking a commercially focused consulting Engineering leader to drive business growth, client success, and analytics-led transformation within our CPG/ Retail portfolio.

As a Principal, you will own key client relationships, P&L performance, and business expansion across large enterprise accounts. You will partner with C-level stakeholders to design and deliver analytics-driven strategies, lead multi-disciplinary teams, and identify new growth opportunities. This role requires a combination of sales acumen, industry expertise, and delivery leadership - ideal for someone who thrives at the intersection of data, strategy, and business impact.

Key Responsibilities

• Own P&L responsibility for assigned accounts, ensuring sustained growth and profitability.
• Drive new business development through existing accounts and new logo acquisition within the Retail sector.
• Partner with Business Development and Marketing to shape go-to-market plans, develop proposals, and close large, multi-year engagements.
• Build executive-level relationships that establish Math Co as a strategic partner and trusted advisor.
• Translate market trends and client priorities into revenue-generating opportunities.

• Consulting background focused on data engineering, including data comprehension, requirement gathering, and project articulation.
• 6+ years in designing and implementing distributed applications
• Expertise in data pipelines, ETL design, data warehousing, and SQL/data modeling (preferably using dbt).
• Strong optimization skills in performance and pipeline management
• Experience with Big Data technologies, including Data Analytics (Dataproc, Airflow, Hadoop, Spark, Hive) and data warehousing (Big Query).

• Oversee multiple consulting and analytics engagements, ensuring solutions are aligned with client strategy and deliver measurable outcomes.
• Lead account planning, resourcing, and operational execution across global delivery teams.
• Act as the voice of the client, ensuring insights and recommendations drive real-world business transformation.
• Support delivery excellence through governance, financial discipline, and proactive risk management.

• Lead and mentor a high-performing team of Engagement Managers and Senior Consultants.
• Foster cross-functional collaboration across the U.S. and India delivery units.
• Champion Math Co’s culture of ownership, inclusion, and continuous learning.

• 15+ years of experience in consulting, engineering, analytics, or data-driven business transformation, with significant exposure to Retail / CPG clients.
• Proven track record in P&L management, revenue growth, and client portfolio expansion.
• Strong sales and relationship management skills, including experience leading pursuits, proposals, and contract negotiations.
• Exceptional executive communication skills with the ability to distill analytical outcomes into business impact stories.
• Demonstrated ability to lead cross-functional, global teams and deliver results in complex, matrixed environments.

• MBA or advanced degree from a top-tier institution.

• Understand & embody Math Co’s culture and way of working.
• Demonstrate an ownership mindset to drive results, striving for excellence.
• Engage actively and contribute to initiatives fostering company growth.
• Support diversity and understand different perspective