Job Description

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.