Senior Project Manager; Data

Job Description

We are seeking an experienced Senior Technical Project Manager to lead the delivery of a complex, multi‑year data engineering transformation program. This role will oversee large‑scale initiatives involving modern data platform builds, migration of legacy systems, API integration, data governance uplift, and enterprise‑level architectural change. The ideal candidate has a strong mix of technical understanding, program delivery expertise, and leadership capability in dynamic environments.

• Lead end‑to‑end delivery of a multi‑year data engineering transformation roadmap, managing timelines, budgets, risks, and dependencies.
• Oversee delivery of work streams including data platform modernization, ETL/ELT pipeline development, API integrations, and cloud architecture changes.
• Establish and maintain delivery frameworks using Agile, Scrum, Kanban, and Hybrid/Waterfall models.
• Ensure technical designs, data models, integration patterns, and solution architectures align with program goals.

• Act as primary delivery lead between engineering teams, business units, and executive stakeholders.
• Translate complex technical detail into clear business language.
• Facilitate workshops, backlog reviews, sprint planning, governance forums, and steering committees.

• Build and maintain program RAID logs, delivery dashboards, and reporting packs.
• Ensure governance alignment with PMO, architecture review boards, and regulatory/compliance requirements.
• Identify delivery risks and drive mitigation strategies.

• Understand modern data engineering practices including Azure Data Services, Databricks, Synapse, Data Lakes, Delta Lake, APIs, ETL/ELT pipelines, and integration patterns.
• Support teams in breaking down technical work into epics, features, and stories.
• Challenge solution design decisions for scalability and performance.

• Lead cross‑functional squads, suppliers, contractors, and third‑party vendors.
• Foster a culture of continuous improvement and iterative delivery.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• Strong understanding of cloud data platforms (Azure preferred).
• Knowledge of APIs, microservices, and integration architectures.
• Experience with ETL/ELT pipeline development.
• Knowledge of data modelling, metadata, and governance.
• Familiarity with Databricks, Spark, Synapse, and big data technologies.

• 12+ years of technical project/program management experience.
• Experience delivering multi‑year transformation programs.
• Experience managing budgets over $10M+.
• Comfortable operating in Agile, Hybrid, and Waterfall models.

• Excellent stakeholder engagement and communication skills.
• Strong negotiation and presentation abilities.
• High degree of ownership and decision‑making confidence.

• PMP, PRINCE2, Agile/Scrum certifications.
• Experience in financial services, insurance, or regulated industries.
• Background in data engineering, software engineering, architecture, or analytics.
• Data Engineering - Data Pipe Lines
• Data Validation
• Data processing
• Linking
• Data output
• Azure / AWS
• Automation
• AI - Chat Flow - Chat Bot integration
• Complex technical project management
• Agile - Scrum