Principal Technical Program Manager (Data Engineering)

Oracle•Nashville, TN

8d•$90,100 - $209,500

About The Position

OCI Strategic Customer Engineering is seeking a highly experienced Principal Technical Program Manager with deep expertise in Data Engineering, Business Intelligence, and Analytics Platforms. This role is ideal for a technical leader who combines hands-on data engineering capabilities with strong program leadership to deliver scalable, data-driven solutions across Oracle Cloud Infrastructure. This position focuses on designing and implementing data platforms, analytics solutions, and business intelligence capabilities that enable executive decision-making, operational excellence, customer insights, and strategic planning. The ideal candidate is equally comfortable building data pipelines and reporting frameworks as they are driving complex cross-functional initiatives across engineering, product, operations, and executive organizations. You are a builder who drives outcomes—not simply a facilitator. You possess strong technical depth, high judgment, a bias for action, and the ability to influence teams across large organizations toward a common vision and measurable business results. You will partner with teams throughout OCI to develop scalable data solutions, establish trusted business metrics, automate reporting processes, and lead strategic initiatives that impact both product and business outcomes. The work is highly visible, customer-focused, and spans multiple organizations across OCI.

Requirements

BS degree or equivalent experience in Computer Science, Engineering, Information Systems, Data Science, or related field
7+ years of experience in Data Engineering, Analytics Engineering, Technical Program Management, Software Engineering, or related technical roles
Strong experience designing, building, and maintaining large-scale data pipelines, ETL/ELT frameworks, and cloud-based data platforms
Experience developing Business Intelligence solutions, executive dashboards, KPI frameworks, and operational reporting systems
Advanced SQL skills and experience working with large-scale datasets
Experience with data modeling, data warehousing, analytics platforms, and reporting architectures
Strong understanding of cloud technologies, distributed systems, and software development lifecycles
Demonstrated ability to analyze complex datasets and translate findings into actionable business recommendations
Experience partnering with engineering, product, operations, and business stakeholders to define requirements and deliver scalable data solutions
Strong written and verbal communication skills with the ability to communicate effectively across technical and executive audiences
Proven ability to lead large, cross-functional initiatives and drive execution across organizational boundaries

Nice To Haves

MS degree or equivalent experience in Computer Science, Data Engineering, Analytics, or related field
10+ years of experience in Data Engineering, Analytics Platforms, Business Intelligence, Technical Program Management, or Software Development
Experience building enterprise-scale data lakes, data warehouses, and analytics platforms
Experience with cloud-native architectures, distributed systems, and OCI services
Experience with technologies such as Spark, Kafka, Airflow, Databricks, Snowflake, BigQuery, OCI Data Flow, or similar platforms
Experience with Oracle Analytics Cloud (OAC), Tableau, Power BI, Looker, or comparable BI platforms
Experience implementing data governance, data quality, metadata management, and observability frameworks
Experience developing self-service analytics solutions and semantic data models
Experience working directly with large enterprise customers and strategic cloud initiatives

Responsibilities

Design, build, and scale data pipelines that aggregate information from multiple OCI systems and services.
Develop robust data models, datasets, and reporting frameworks that provide actionable insights for engineering, operations, customer success, and executive leadership.
Architect and implement scalable analytics platforms that support strategic customer programs and operational decision-making.
Design and maintain enterprise-grade data solutions that improve visibility into customer adoption, operational health, service performance, and business outcomes.
Build and automate data ingestion, transformation, and reporting processes to reduce manual effort and improve data accuracy.
Establish data quality, governance, lineage, and observability standards across critical business datasets.
Partner with engineering teams to define telemetry, instrumentation, and data collection strategies.
Perform deep analysis of large and complex datasets to identify trends, opportunities, risks, and operational bottlenecks.
Drive adoption of modern data engineering best practices, tools, and technologies across the organization.
Design and deliver Business Intelligence solutions that provide actionable visibility into customer health, operational performance, and strategic business objectives.
Develop executive dashboards, scorecards, KPI frameworks, and reporting solutions used by senior leadership for decision-making.
Partner with business leaders to define success metrics, operational indicators, and reporting requirements.
Build scalable semantic models and reporting datasets that enable self-service analytics across multiple organizations.
Transform raw operational and engineering data into meaningful business insights and recommendations.
Standardize reporting methodologies and establish trusted sources of truth for key organizational metrics.
Support strategic planning, investment decisions, and customer engagement initiatives through data-driven analysis.
Lead large, complex, cross-functional initiatives spanning engineering, product, operations, and executive leadership teams.
Break down ambiguous business problems into actionable technical workstreams and measurable deliverables.
Develop functional specifications and drive successful execution from concept through delivery.
Identify process gaps and establish scalable mechanisms that improve organizational efficiency and execution.
Manage program schedules, dependencies, risks, and stakeholder communications.
Anticipate bottlenecks, proactively manage escalations, and balance technical constraints with business priorities.
Drive alignment across OCI organizations toward shared objectives and customer outcomes.
Lead interactions with cross-functional teams consisting of Engineers, Product Managers, Architects, Customer Success leaders, and Executive Leadership.
Thrive in a fast-paced, highly ambiguous environment while maintaining focus on delivering measurable business value.