Technical Product Manager (Data Modernization)
Job Summary
Job Description
We are seeking an experienced Technical Product Manager (TPM) to lead a comprehensive Data Modernization Assessment for our client. This high-impact role focuses on evaluating and evolving the organization’s data ecosystem, requiring a strong technical foundation and strategic mindset. Responsibilities include conducting holistic assessments of the data ecosystem, reviewing architecture and data pipelines, evaluating monitoring and observability practices, and analyzing data product strategies, governance, and metadata management. The role also involves assessing the analytics tooling landscape and readiness for AI-driven analytics and agentic Business Intelligence (BI). Collaboration with stakeholders across various departments is key, culminating in a comprehensive assessment report with actionable recommendations and strategic roadmaps.
Must have:
- 5 years as Technical Product Manager or equivalent in data modernization.
- Deep understanding of modern data architectures and cloud platforms.
- Experience in data governance and metadata management.
- Familiarity with observability and monitoring frameworks.
- Exposure to analytics tools and modern AI/BI.
- Exceptional stakeholder management and communication skills.
- Strong analytical and strategic thinking.
Good to have:
- Experience with enterprise clients in regulated industries.
- Knowledge of agentic AI systems or LLM-powered analytics.
Perks:
- Competitive salary
- Strong healthcare insurance and benefits package
- Extensive learning and development resources
9 skills required
Job Details
Overview
We are seeking an experienced Technical Product Manager (TPM) to lead a comprehensive Data Modernization Assessment for our client. This is a high-impact role focused on evaluating and evolving the organization’s data ecosystem. The ideal candidate will have a strong technical foundation, strategic mindset, and experience driving complex data transformation initiatives.
Job Responsibilities
- Conduct a holistic assessment of the current data ecosystem, including infrastructure, data pipelines, governance practices, analytics platforms, and delivery processes.
- Lead architecture and data pipeline reviews, ensuring scalability, reliability, and efficiency.
- Evaluate and recommend improvements for monitoring and observability practices across data systems.
- Analyze existing data product strategies, ownership models, and stewardship frameworks.
- Assess governance and metadata management processes, identifying gaps and optimization opportunities.
- Review the analytics tooling landscape, aligning tools and platforms to business objectives and team workflows.
- Evaluate companies readiness for AI-driven analytics and agentic Business Intelligence (BI) capabilities.
- Collaborate with stakeholders across engineering, data, governance, and business units to gather insights and align modernization goals.
- Deliver a comprehensive assessment report with clear, actionable recommendations across each of the evaluated pillars.
- Translate findings into strategic and operational roadmaps, providing implementation guidance and prioritization frameworks.
Basic Qualifications
- 5 years of proven experience as a Technical Product Manager or equivalent role in data modernization, digital transformation, or enterprise data strategy projects.
- Deep understanding of modern data architectures, cloud data platforms (e.g., Azure, AWS, GCP), and data engineering principles.
- Experience in data governance, metadata management, and data product lifecycle.
- Familiarity with observability and monitoring frameworks (e.g., Datadog, Prometheus, OpenTelemetry).
- Exposure to analytics tools (Power BI, Tableau, Looker) and modern AI/BI capabilities.
- Exceptional stakeholder management and communication skills, with the ability to distill technical insights into executive-level narratives.
- Strong analytical and strategic thinking, with a track record of turning complex assessments into actionable outcomes.
Preferred Qualifications
- Experience working with enterprise clients in regulated industries.
- Knowledge of agentic AI systems or LLM-powered analytics platforms.
We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. The role is preferably hybrid, with 2 days per week spent in the office, and flexibility for client engagement needs. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.
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About The Company
Here at ShyftLabs, we build data products to help enterprises deliver real impact through tailored data analytics, science, and AI solutions. From consulting to operations, we guide our customers through their data journey and ensure they are data and AI-empowered.
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