Top Tech Jobs & Startup Jobs

Develops and advances revenue management analytics, tools, reports, models, and processes. Partners with Marketing, Finance, and Merchandising to optimize pricing, promotions, and offer-pack architecture. Translates complex data into actionable business insights, supports strategic category initiatives, leads stakeholder communications and design sprints, prioritizes product enhancements, and enables end users. Requires strong analytical, data storytelling, stakeholder influence, change management, and business KPI skills.

Leads a 25–30-person Data Engineering organization delivering batch and streaming pipelines, lakehouse models, master data systems, and analytics modernization across multiple business domains. Sets technical strategy, oversees architecture and data quality, manages delivery priorities and production SLAs, and partners with platform, governance, and AI/ML teams. Mentors engineering leaders, drives legacy modernization, and communicates roadmaps, value, and progress to executive stakeholders.

Manage a team responsible for enterprise data products across their full lifecycle, including discovery, roadmaps, delivery, adoption, governance, quality, support, and retirement. Translate business needs into product requirements and partner with engineering, analytics, governance, privacy, security, and data science teams. Oversee staffing, costs, team performance, AI adoption, self-service analytics, and measurable business value while ensuring data products are secure, reliable, documented, and trusted.

Build and scale strategic partnerships with enterprise merchants, commerce platforms, channel providers, and ecosystem partners. Own the partnership lifecycle from prospecting and business-case development through negotiation, onboarding, launch, account management, and expansion. Develop referral programs, joint go-to-market plans, partner enablement, performance scorecards, and growth strategies while coordinating cross-functional teams across Legal, Finance, Product, Technology, Operations, Marketing, Merchandising, and Analytics.

Leads the Customer Insights function, research roadmap, customer foresight, competitive intelligence, and qualitative and quantitative research programs. Partners with senior stakeholders across marketing, merchandising, operations, loyalty, and digital to translate customer research into strategic recommendations. Oversees satisfaction and brand tracking, innovation research, vendor budgets, process improvement, and team development while connecting customer insights to business outcomes.

Supports 7-Eleven International’s market expansion and investment agenda by evaluating new markets, strategic partnerships, joint ventures, acquisitions, and other opportunities. Responsibilities include market assessments, business cases, financial modeling, valuation support, commercial due diligence, transaction coordination, integration planning, cross-functional project leadership, and executive or Board-level presentations.

Designs, develops, deploys, and operationalizes machine learning solutions using Python, PySpark, Azure technologies, and large-scale telemetry datasets. Builds scalable data pipelines, trains and evaluates models, applies MLOps practices, and communicates insights through dashboards and presentations. Collaborates with data engineers, data scientists, architects, product owners, and business stakeholders to deliver enterprise machine learning solutions.

Leads CRM and personalization strategy to increase customer engagement, retention, loyalty, store trips, basket size, fuel trips, and delivery orders. Manages customer journeys across email, SMS, push, and in-app channels; uses analytics, segmentation, KPIs, and marketing automation to optimize campaigns. Collaborates with marketing, merchandising, digital, delivery, and IT teams, while leading Marketing Cloud developers and data analysts.

Performs month-, quarter-, and year-end close activities, journal entries, reconciliations, gross profit and variance analysis, and management reporting. Ensures GAAP and internal-control compliance while analyzing sales, inventory, cost of sales, markdowns, and shrink. Supports ERP, automation, reporting enhancements, and process improvements, using advanced Excel, Oracle or similar systems, and Power BI.

Manages retail item data and lifecycle readiness across merchandising, pricing, inventory, and delivery systems. Verifies product attributes, pack configurations, costs, taxes, compliance fields, supplier distributions, and logistics requirements. Partners with category managers, suppliers, wholesalers, and internal teams to resolve discrepancies, process item setup requests, support route-to-market changes, and manage ServiceNow tickets. Uses advanced Excel analysis to identify data issues, perform root-cause analysis, and improve item setup workflows.