Engineer, Software - Salesforce

Intouch Mobile • Bellevue, WA

259d • $170,100 - $230,100

About The Position

T-Mobile is in pursuit of exceptional talent to join our executive team. We're committed to excellence and innovation, and we are on the lookout for a leader who can steer our company towards new heights of success. In this pivotal role, you will be responsible for driving strategic initiatives and leading a talented team of professionals. The ideal candidate will possess a proven track record of success, demonstrating a keen ability to navigate complex challenges and capitalize on emerging opportunities. As a key member of our executive team, you will play a crucial role in shaping and executing our organizational strategy and contributing to our continued growth and market leadership. Join us in our commitment to driving innovation, inspiring collaboration, fostering a positive company culture, and achieving unparalleled success. We are seeking a highly skilled and experienced candidate to lead our data-driven marketing strategies and drive business growth. This role will be responsible for leveraging advanced machine learning techniques and data analytics to optimize marketing performance, customer segmentation, predictive modeling, and contextual marketing efforts. The ideal candidate will work cross-functionally with marketing, IT, and data engineering teams to develop innovative solutions that enhance customer engagement and business performance.

Requirements

• 10+ years professional experience including relevant experience in applying insights-driven strategic analytics to complex business problems.
• Experience managing highly skilled and effective direct reports team.
• Relevant experience preferred in one or more of the following categories: telecommunications, consumer electronics, banking, economics.
• Bachelor's Degree with a quantitative concentration (Finance, Engineering, Economics, Statistics); Masters Preferred.

Nice To Haves

• Ability to communicate effectively across team and organizational boundaries to drive and develop consensus.
• Strong communication and people skills.
• Agile and Adaptive.
• Listen and understand a variety of points of view balancing concerns with data for better decision making.
• Analytical problem solver; applies multiple technical solutions to application operational problems.
• Collaborative, yet influential.
• Flexible, self-starter, and comfortable working in a rapidly changing environment.
• Desire for a high level of responsibility and ownership and ability to work with minimal supervision.
• Creative problem solver and solutions provider.
• Ability to prioritize multiple projects; detail oriented and organized.

Responsibilities

• Develop and execute a data-driven marketing analytics and machine learning strategy aligned with business objectives.
• Design, develop, and deploy machine learning models for customer segmentation, lead scoring, churn prediction, recommendation systems, and marketing attribution.
• Utilize data analytics to measure and optimize marketing campaign effectiveness, ROI, and customer journey insights.
• Apply advanced analytics to enhance customer segmentation, contextualization, and targeting strategies.
• Collaborate with stakeholders to translate business needs into analytical solutions and provide actionable insights.
• Build and mentor a high-performing team of data scientists, analysts, and engineers.
• Work closely with marketing, IT, and engineering teams to integrate analytics solutions into business processes.
• Ensure data integrity, security, and compliance with industry regulations and best practices.
• Stay abreast of advancements in AI, machine learning, and marketing analytics to drive innovation.

Benefits

• Medical, dental and vision insurance.
• Flexible spending account.
• 401(k).
• Employee stock grants.
• Employee stock purchase plan.
• Paid time off and up to 12 paid holidays.
• Paid parental and family leave.
• Family building benefits.
• Back-up care.
• Enhanced family support.
• Childcare subsidy.
• Tuition assistance.
• College coaching.
• Short- and long-term disability.
• Voluntary AD&D coverage.
• Voluntary accident coverage.
• Voluntary life insurance.
• Voluntary disability insurance.
• Voluntary long-term care insurance.
• Mobile service & home internet discounts.
• Pet insurance.
• Access to commuter and transit programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Industry: Furniture, Home Furnishings, Electronics, and Appliance Retailers
• Education Level: Bachelor's degree