Senior Manager Portfolio Engineering

About the role

The Senior Manager, Portfolio Engineering plays a critical role in enabling the successful execution of the enterprise data product portfolio, serving as the bridge between product strategy and engineering delivery.

Responsibilities

• Lead portfolio-level engineering execution across multiple data products, ensuring alignment, scalability, and high-quality delivery through strong engineering practices and agile execution.
• Drive coordination across teams, optimize delivery performance, and embed governance, reliability, and continuous improvement into engineering workflows.
• Translate product portfolio priorities into integrated engineering delivery plans aligned to business outcomes.
• Manage cross-product dependencies, sequencing, and release coordination to optimize delivery and time-to-value.
• Establish and carry out portfolio-level engineering governance, including standards, design reviews, and release readiness.
• Oversee the end-to-end data engineering lifecycle (ingestion, transformation, modeling, and delivery).
• Drive adoption of modern data architecture patterns (data products, APIs, lakehouse, data mesh where applicable).
• Partner with Product, Architecture, and platform teams to ensure alignment on roadmaps, backlogs, and engineering standards.
• Standardize agile ways of working and improve delivery through KPI tracking (e.g., cycle time, reliability, deployment frequency).
• Embed data quality, observability, governance, and compliance controls into engineering workflows.
• Remove delivery bottlenecks and continuously improve scalability, reliability, and performance of data pipelines and platforms.
• Lead, mentor, and develop engineering talent while fostering a culture of accountability and engineering excellence.

Requirements

• Legally authorized to work in the U.S.
• Commutable distance to Tampa, FL.
• 8+ years of experience in data engineering, analytics engineering, or data platform delivery; including 3+ years of leadership experience managing or influencing engineering teams in complex environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data, or a related field.
• Strong expertise in ETL/ELT pipelines, APIs, data modeling, and scalable data architectures.
• Hands-on experience with modern data platforms (e.g., Snowflake, Databricks, cloud ecosystems).
• Proven ability to manage cross-team dependencies, release cycles, and portfolio-level delivery.
• Experience working in agile environments with CI/CD practices in data engineering.
• Strong understanding of data governance, metadata, data quality, and compliance integration.

Qualifications

• Annual Base Salary Range: $160,000 - $200,000

Benefits

• Competitive base salary
• Annual bonus (applicable based on level of position)
• Great medical, dental and vision coverage
• 401k with a generous company match
• Incredible wellness benefits
• Courier benefits
• Pet insurance
• Generous PTO

Skills

• Data engineering
• Analytics engineering
• Data platform delivery
• Agile environments
• CI/CD practices
• Data governance
• Data quality
• Data compliance

Pay

• Annual Base Salary Range: $160,000 - $200,000

Schedule

• Hybrid work model