Salary
💰 $183,000 - $224,000 per year
Tech Stack
AWSCloudCyber SecurityIoT
About the role
- Partner with regional sales teams to identify and drive opportunities for data platform modernization, analytics, and machine learning initiatives.
- Conduct assessments of client data and analytics environments to recommend modernization strategies aligned with business objectives and outcomes.
- Collaborate with Trace3’s other business units to design integrated solutions and go-to-market strategies for data-driven transformation across technology areas.
- Act as a trusted advisor, delivering presales consultations and guiding clients on adopting data strategy, advanced analytics, business outcomes and data science frameworks.
- Research and evaluate emerging technologies in the data and analytics space, collaborating with venture capitalists, industry groups, and Trace3 Innovation team.
- Develop reusable assets, such as playbooks, solution briefs, whitepapers, and presentations to support sales and client engagements.
- Lead technical workshops, executive briefings, and enablement sessions for clients and internal teams.
- Identify disruptive trends in data, machine learning and advanced analytics, collaborating with the Innovation Team to pilot and scale new capabilities.
- Support the development and refinement of Trace3’s Data, AI and analytics product portfolio, including strategy and partnerships with key vendors.
- Deliver impactful presentations to C-level executives, VPs, and Directors to align technology solutions and business value.
- Mentor and support technical teams, ensuring alignment with best practices and emerging industry standards.
Requirements
- Bachelor’s degree from an accredited university (preferred); equivalent experience will be considered.
- 5+ years of experience in data platforms, analytics, data science, or related domains.
- Expertise in designing and implementing Data, ML solutions and leveraging advanced analytics to solve complex business challenges.
- Proven ability to architect modernized data platforms using technologies such as cloud data warehouses, real-time analytics, and data governance tools.
- Familiarity with platforms such as Databricks, Microsoft Fabric, Snowflake, AWS, and Google Cloud Platforms.
- Proven ability to consult on data science and machine learning frameworks to drive business outcomes.
- Strong understanding of business environments and IT operations in enterprises.
- Experience working with Fortune 1000 clients, delivering impactful solutions in data and analytics.
- Excellent interpersonal and communication skills, with the ability to convey complex technical ideas to diverse audiences, including executives and end-users.
- Knowledge of adjacent technology domains, such as Cloud, IoT, and Cybersecurity, to build holistic solutions.
- Proficiency in creating and delivering high-impact presentations, workshops, and technical collateral.
- Demonstrated ability to mentor and lead technical teams in a collaborative environment.
- Strong organizational skills, with the ability to prioritize and execute in a fast-paced environment.
- Willingness to travel as needed; valid driver’s license required.