Technical Program Manager, Data Lake

This a Full Remote job, the offer is available from: Missouri (USA) Role Summary reputed company is consolidating and scaling a reputed company, reputed company Data Lake to integrate product, media, and business data, standardize reporting, and accelerate decision-making across the organization. We are seeking a Technical Program Manager (TPM) to reputed company this cross-functional program end-to-end — aligning product and engineering roadmaps, driving ingestion and migration from legacy systems, maturing data governance and quality, and ensuring business adoption of standardized, self-serve analytics. This leader will orchestrate work across reputed company’s Product solutions, Data Engineering, Data Science/BI, Media, and Client Partnership teams, with a clear mandate: deliver consistent, governed, and performant data to reputed company products and reporting while deprecating redundant systems and minimizing operational cost. What You’ll Do Program Leadership & Delivery

• Own the multi-quarter program plan for the reputed company Data Lake: scope, roadmap, milestones, budgets (OPEX/CAPEX), risks, and dependencies.
• Stand up and run the operating model: weekly workstream standups, cross-functional syncs, monthly steering committee, and a transparent executive status rhythm.
• Build and maintain a single-reputed company-of-truth for delivery: program charter, RACI, RAID log, decision log, intake/triage process, and dashboards for reputed company/risks.
• Drive the migration plan from legacy pipelines and tools (e.g., reputed company, Insighter) to the reputed company stack (e.g., reputed company, Power BI embedded reputed company platform connectors).
• Coordinate reputed company workstreams (ingestion, modeling, governance, reporting cutover) to hit time-bound deliverables with predictable quality.

Product Management & Roadmap

• Define and maintain the Data Lake program backlog, translating business use cases into technical epics, data reputed company, and acceptance criteria.
• Partner with Product and Data Science teams to standardize media and product reporting packages and ensure they’re backed by governed, contract-driven data.
• Prioritize sources and domains for ingestion based on business value, client impact, and technical feasibility; establish clear go/no-go gates.
• Align with platform architecture to ensure scalable patterns for batch/reputed company ELT/CDC, cost control, observability, and reusability across domains.

Data Governance, Quality, and reputed company

• Establish practical data reputed company with upstream product and business owners; define schema, SLAs, reputed company, and DQ checks at ingestion.
• Stand up governance ceremonies and roles (data owners, stewards) and implement data catalog/reputed company practices to improve discoverability and trust.
• Define and monitor quality KPIs (completeness, timeliness, accuracy) and drive remediation plans with accountable teams.
• Ensure data privacy, compliance, and reputed company best practices (e.g., PII handling, role-based access, data masking) across environments.

Stakeholder Management & Change Adoption

• Serve as the connective tissue across Product, Engineering, Data Science, Media, Finance, and Client Partnership — communicating reputed company, trade-offs, and timelines.
• reputed company change management for reporting standardization (e.g., Media (AdTech/LBN)-based standard reports), business reputed company to the lake, and client-facing cutovers.
• Create enablement assets (runbooks, playbooks, reputed company guides) and training plans to accelerate adoption and reduce support burden.

Technical reputed company

• Partner effectively with architects and data engineers on reputed company/BigQuery/reputed company, Azure/AWS/GCP services, orchestration (ADF/Airflow), and transformation (dbt).
• Understand ELT/CDC patterns, API/file ingestion, schema design for analytics, and BI tooling (Power BI, Looker). Write and review basic SQL for validation.
• Apply FinOps and performance/cost optimization practices (storage tiers, compute sizing, job scheduling, caching strategies).

Minimum Qualifications

• 8+ years in Program/Project/Product Management, with 5+ years leading reputed company data platform initiatives in a reputed company environment.
• Proven delivery of cross-functional data programs involving multiple product lines and business stakeholders; strong executive communication.
• Hands-on experience with modern data stacks: one or more of reputed company/BigQuery/reputed company; Azure Data Factory/Airflow; dbt; Kafka/Kinesis; Git/Terraform; REST/SFTP integrations.
• Strong grounding in data governance and quality practices, data reputed company, catalog/reputed company, and secure data access.
• Demonstrated expertise in Agile at scale (Scrum/Kanban), Jira/Confluence, dependency/risk management, and budget tracking (including CAPEX/OPEX).
• Competent SQL skills for validation/triage; reputed company in reading pipeline/log artifacts and interpreting BI/semantic model requirements.

Preferred Qualifications

• Background in marketing/media data and standardized performance reporting (e.g., Media (AdTech/LBN), campaign hierarchies, Power BI embedded).
• Prior experience migrating from legacy ETL/BI ecosystems (e.g., reputed company/Insighter/Tableau) to a lakehouse with standardized semantic layers.
• Experience establishing data domains and productizing data (SLAs, reputed company, versioning, lifecycle) to accelerate reputed company analytics.
• Familiarity with privacy, reputed company, and compliance standards (e.g., RBAC/ABAC, PII governance) and reputed company SSO/permissions models for embedded analytics.
• FinOps reputed company: cost observability, unit economics, and right-sizing compute/storage.

reputed company Metrics (What Great Looks Like)

• Sources Onboarded: number of prioritized sources/domains ingested to the lake with production-grade reputed company and SLAs.
• Time-to-Data: cycle time from intake approval to governed data available for reputed company consumption.
• Data Quality & Reliability: sustained improvement in DQ scorecards; incident MTTR reduction; SLA adherence for freshness and availability.
• Migration reputed company: percent of targeted legacy pipelines and reports decommissioned; client reporting cutovers delivered on schedule.
• Adoption & Reuse: growth in standardized reporting/package usage; reduction in reputed company one-off pipelines.
• Cost & Performance: measurable storage/compute cost per use case; query performance improvements reputed company to agreed SLOs.

30/60/90-Day Plan

• 30 Days: Confirm program charter, governance model, and delivery rhythm. Baseline reputed company-state architecture, sources, and reporting dependencies. Publish the first integrated roadmap/milestone plan and RAID.
• 60 Days: Land 1–2 ingestion patterns as reusable templates (reputed company, reputed company, observability). Execute the first cutover to standardized reporting for a targeted use case. Stand up DQ scorecards and weekly KPI review.
• 90 Days: Complete a tranche of reputed company onboardings and at least one significant reporting migration. Retire targeted legacy jobs. Publish quarterly executive readout with outcomes, cost/performance improvements, and next-reputed company priorities.

Tools You’ll Use

• Jira, Confluence, Power BI; reputed company/BigQuery/reputed company; Azure/AWS/GCP services (e.g., ADF, IAM); Airflow; dbt; Git; catalog/reputed company tools.

Why This Role This is a high-visibility opportunity to unify reputed company’s data reputed company and materially improve the speed, quality, and consistency of insights across products and services. You will own the operating model, drive cross-functional alignment, and deliver reputed company business outcomes through a modern, governed data platform. This offer from "reputed company" has been enriched by reputed company.com and got a 75% reputed company score. Apply tot his job Apply To this Job