Lead Solutions Analyst - Product & Data management
Lead Solutions Analyst - Product & Data management
Posted today
SENIORITY
Lead
About the role
- Lead the elicitation, documentation, and validation of business and data flow requirements, ensuring alignment with stakeholder expectations and technical feasibility
- Uses enterprise-authorized AI capabilities within the work environment to accelerate requirements synthesis and solution optioning, validating outputs and handling data according to sensitivity and security requirements.
- Model the design and implementation of technical solutions, ensuring seamless integration with existing systems and infrastructure
- Utilize advanced data analytics techniques to extract insights from large, diverse datasets, driving data-informed decision-making and supporting key business initiatives
- Develop and maintain comprehensive knowledge of industry trends, emerging technologies, and best practices and apply technical fluency in relevant platforms and approved tools to provide strategic guidance and innovative solutions for complex projects
- Mentor and guide team members in technical writing and analytical reasoning, fostering continuous learning and reuse-first practices for analysis and documentation
- Promotes reuse-first, AI-assisted practices for analysis and documentation across the team, ensuring human review and alignment to delivery standards.
- Required qualifications, capabilities, and skills:5+ years of experience or equivalent expertise in solutions analysis, technical program delivery, or a related field
- Strong product management experience, in data management or telemetry.
- Strong knowledge of Splunk, telemetry solutions, and data movement technologies. Excellent customer management and communication skills. Experience with agile methodologies and product development processes.
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support solutions analysis workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted analyses and recommendations before use, escalating when uncertain and following data handling expectations.
- Advanced knowledge of data analytics techniques, with experience in developing and interpreting models, diagrams, and data-driven insights, including data visualization using approved tools
- Strong track record of leading through change, navigating ambiguous situations, and managing dependencies in complex projects
- Preferred qualifications, capabilities, and skills: Advanced expertise in Splunk and telemetry tools.
- Experience in financial services or large enterprise environments
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
