Remote Sales Operations Manager

Summary

Join our team as a Sales Operations Consultant and contribute to driving revenue growth and operational excellence through data-driven insights and solutions. Be at the forefront of technology and innovation while leading projects that make a significant impact on our clients' success.

Requirements

• 10+ years of Sales Operations experience in fast paced, high growth environments
• Proven experience designing and implementing strategies in collaboration with revenue operations that accelerate growth, strengthen GTM operations and drive efficiency as an Analyst, Solution Architect, and Delivery Manager
• Deep knowledge of sales technology platforms, specifically Salesforce and Marketo
• Strong expertise in data management, data analysis, and data visualization techniques
• Proficiency in data modeling, ETL processes, and data integration
• In-depth knowledge of data governance, security, and compliance practices
• Working knowledge with data analytics tools, such as SQL, Java, Python, R, and business intelligence platforms such as Domo, Tableau, Looker
• Deep knowledge of Salesforce, DOMO, Marketo, Cvent, Zoom, and other leading SAAS add-on systems (Drift, Integrate, etc.)
• Excellent leadership, communication, and project management skills
• High degree of initiative and operational creativity, able to roll with occasional ambiguity and read between the lines to get work done
• Able to work collaboratively with remote cross-functional teams and business stakeholders
• Strong problem-solving and critical-thinking abilities, with a focus on data-driven decision-making.Demonstrates unwavering commitment and determination, goes the extra mile to ensure success in all endeavors
• Prioritizes understanding and aligning with customer visions. Consistently meets and exceeds customer expectations
• Embraces continuous learning and encourages curiosity. Drives personal and collective growth, exploration, and innovation
• Challenges the status quo and seeks novel solutions. Actively contributes to redefining possibilities through innovation
• Takes ownership of responsibilities, ensures promises made are promises kept
• Demonstrates agility and adaptability in a dynamic environment, embraces change as a means to success

Responsibilities

• Collaborate with business stakeholders to understand project requirements, objectives, and key performance indicators
• Conduct comprehensive analysis of business needs to identify data sources and types required to deliver actionable insights and achieve project goals
• Map out the current business processes to identify areas for improvement and inefficiencies
• Design robust and scalable data and analytics solutions that align with business objectives and meet project requirements
• Design and architect process optimization solutions tailored to the client's needs
• Identify and evaluate technology and tools that can support process improvements
• Implement data management best practices, including data governance, security, and compliance measures, to ensure data quality and protection
• Develop data visualizations, reports, and dashboards to effectively communicate findings to stakeholders
• Assume the role of the Delivery Manager to oversee the end-to-end delivery of projects
• Lead the project team, including technical project managers and builders, to ensure successful project execution and delivery
• Monitor project progress, track milestones, and proactively address any issues or roadblocks to keep projects on track
• Take ownership of project timelines, budgets, and resource allocation to ensure timely and cost-effective project delivery
• Communicate project status, risks, and updates to stakeholders and provide regular reports on project performance
• Mentor and coach team members to enhance their data and analytics competencies, providing technical guidance and leadership
• Stay updated with industry trends and advancements in data and analytics technologies, advocating for the adoption of new technologies and best practices
• Identify opportunities for process improvement and continuous optimization within the data and analytics practice area