Data Engineering Lead Technical Program Manager

Overview In this role, you guide advanced data engineering programs within the Consumer and Community Bank - Data Technology group, driving delivery of complex technology solutions that support business goals. You will lead cross‑functional teams, manage resources and budgets, and apply deep technical principles to shape innovative data platforms. You’ll navigate ambiguity with analytical rigor and leverage AI-enabled planning to streamline program governance. The role offers an opportunity to influence how data engineering programs scale in a fast-paced financial services environment. Compensation / Benefitsbase salary with potential incentive compensationcomprehensive health care coverageretirement savings plantuition reimbursementmental health supporton-site health and wellness centers ResponsibilitiesDevelop and execute comprehensive project plans with technical requirements, resources, and timelines to ensure on-time deliveryLeverage knowledge of AWS, Snowflake, Databricks, and ETL to manage data engineering programs and governanceIdentify and mitigate risks; implement contingency plans to maintain momentumCollaborate with engineering, product, and business stakeholders to align program scope with business goalsAnalyze program performance using data-driven methods and optimize for efficiencyUtilize enterprise AI capabilities for planning and risk synthesis, ensuring proper data handling and validationPromote reuse-first, AI-assisted governance and reporting with human oversight to meet delivery standardsChampion agile methodologies and a culture of continuous learning and innovation Key requirements5+ years of technical program management experience in a large organizationAdvanced stakeholder management and ability to influence cross-functional teams and clientsKnowledge of AWS, Snowflake, Databricks, and ETLUnderstanding of data management and data governance tools and processesExperience with vendor management and access to shared pools of applications/servicesProven ability to manage resources, budgets, and high-performing teams in a fast-paced, agile environmentStrong analytical reasoning and problem-solving to break down objectives into tasksExperience using enterprise AI capabilities to support program management with validation and data sensitivity awarenessAbility to review and validate AI-assisted plans and escalate when uncertainstakeholder managementanalytical thinkingadaptabilityAWSSnowflakeDatabricks