Project Coordinator / Product Owner

Posted An Hour Ago
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Washington, DC, USA
Hybrid
125K-145K Annually
Expert/Leader
Artificial Intelligence • Natural Language Processing • Professional Services • Analytics • Consulting • Conversational AI • Generative AI
Navixus provides strategy, consulting and leading-edge technologies to make the most of every customer touchpoint.
The Role
Lead end-to-end delivery of Azure-native data platform programmes, manage multi-workstream Agile/SAFe delivery, drive PI/sprint planning, maintain programme artefacts and roadmaps, engage in architecture reviews for Databricks/ADF/ADLS/Delta Lake, enforce data governance and compliance, and liaise between TechM and WBG stakeholders to report status and mitigate risks.
Summary Generated by Built In
Job Summary
Project Coordinator / Product Owner

Washington DC - Onsite

Mandatory skills

Agile/Scrum (PI Planning), Data Product Management, Stakeholder Alignment (DEC, ICAM, OIS),
Backlog Prioritization, Data Governance & Compliance awareness, Azure DevOps/JIRA
Certification : SAFe POPM / CSPO
Programme Delivery & Planning
Own end-to-end delivery of WBG data platform programmes: scope, schedule, milestones, budget tracking, and outcome accountability
Build and maintain programme roadmaps aligned to WBG's ITS strategic priorities and OKR frameworks
Manage multi-workstream delivery across data ingestion, transformation, serving, governance, and AI/ML integration layers
Drive sprint planning, PI ceremonies, and release cadences in line with WBG's Agile delivery model
Produce and maintain programme artefacts: charter, RACI, RAID log, architecture decision records, and executive dashboards

Technical Engagement
Engage substantively in architecture reviews for Azure-native data platforms: Databricks, ADF, ADLS Gen2, Delta Lake, Unity Catalog
Identify and escalate technical risks - pipeline SLA breaches, schema drift, data quality failures, Unity Catalog governance gaps
Facilitate build-vs-buy and platform trade-off discussions across WBG engineering and architecture teams
Support integration of AI/ML capabilities into WBG data products - MLflow, feature store, model serving pipeline governance
Ensure engineering decisions are documented, reviewed, and traceable through WBG's Architecture Review Board (ARB) process

Governance, Compliance & Reporting
Enforce WBG data governance standards: data lineage, metadata management, access controls, and audit trail requirements
Manage change control processes, CAB submissions, and production readiness reviews per WBG ITS protocols
Prepare and present programme status reports (RAG, risk register, milestone tracking) to WBG senior stakeholders
Ensure programme adherence to World Bank Group IT Security Policy, data classification standards, and procurement compliance
Maintain transparency on delivery health; flag deviations to both WBG client leads and TechM account management
Stakeholder & Client Management
Serve as primary day-to-day interface between TechM delivery team and WBG ITS leadership and business stakeholders
Build trusted working relationships with WBG Product Owners, Data Stewards, Procurement, and InfoSec teams
Navigate WBG's multilateral governance environment - aligning delivery pace with institutional decision-making cycles
Communicate programme status, risks, and decisions with clarity: engineer-level detail for technical reviews; board-level narrative for steering committees
Coordinate with TechM onshore/offshore teams to ensure seamless resource continuity and knowledge transfer
Required Qualifications
Experience
  • 12-18 years of total professional experience; 8+ years in Data Engineering or Data Platform programme delivery
    Proven delivery of Azure-native data transformation programmes: Databricks, ADF, Delta Lake, ADLS Gen2, Unity Catalog
  • Prior experience working in or with multilateral organisations, international financial institutions, or large regulated enterprises strongly preferred
  • Track record managing cross-functional, multi-geography teams; comfortable with distributed offshore-onshore delivery models
  • Staff augmentation or embedded consulting experience preferred - ability to assimilate into client culture while maintaining delivery accountability

Technical Depth
  • Strong command of Medallion / Lakehouse architecture, Delta Lake internals (Liquid Clustering, Z-ordering,
  • OPTIMIZE/VACUUM), and Unity Catalog governance
  • Working knowledge of PySpark, Structured Streaming, Databricks Lakeflow/DLT pipelines, and MLflow model lifecycle management
  • Azure platform fluency: Data Factory, Event Hubs, Key Vault, Azure Monitor, Purview (data governance context)
  • Familiarity with data quality frameworks (Great Expectations, Deequ) and observability/alerting tooling
  • Exposure to AI/ML operationalisation patterns: feature store, model registry, batch vs. real-time inference pipelines

Programme & Soft Skills
  • Strong command of Agile/SAFe, PI planning, OKR alignment, and risk management disciplines
  • Excellent written and verbal communication; capable of producing crisp executive briefs and technical artefacts with equal facility
  • High cultural intelligence - ability to operate effectively within a multilateral, multi-nationality institutional environment
  • Proven ability to manage ambiguity, prioritise under competing pressures, and drive consensus across diverse stakeholder groups
  • Client-first mindset with professionalism to represent TechM's delivery standards at a global development institution

The pay range for this role is $125k - $145k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.
Thanks & Regards
Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected] ."

Skills Required

  • 12-18 years total professional experience
  • 8+ years in Data Engineering or Data Platform programme delivery
  • Proven delivery of Azure-native data transformation programmes (Databricks, ADF, Delta Lake, ADLS Gen2, Unity Catalog)
  • SAFe POPM or CSPO certification
  • Experience with Agile/SAFe, PI planning, backlog prioritization, and OKR alignment
  • Familiarity with PySpark, Structured Streaming, Databricks DLT/Lakeflow, and MLflow
  • Experience with Azure platform services (Event Hubs, Key Vault, Azure Monitor) and Purview for governance
  • Experience enforcing data governance: lineage, metadata management, access controls, audit trails
  • Experience with data quality and observability tools (Great Expectations, Deequ)
  • Prior experience working with multilateral organisations or large regulated enterprises
  • Staff augmentation or embedded consulting experience; managing distributed onshore/offshore teams

What the Team is Saying

Kim

Navixus | Tech Mahindra Compensation & Benefits Highlights

  • Healthcare Strength Offerings include medical, dental, vision, mental‑health benefits, FSA, wellness programs, and pet insurance. Corporate materials also describe health and accident insurance and maternity/parental coverage for permanent employees, reinforcing comprehensive protection.
  • Flexible Benefits Work models include hybrid/remote options, flexible schedules, and a remote‑work program. A home‑office stipend and related setup support are listed for eligible roles.
  • Leave & Time Off Breadth Paid holidays, PTO/sick time, and floating holidays are explicitly included. Parental and family leave, bereavement, and volunteer time are also highlighted in public materials.

Navixus | Tech Mahindra Insights

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The Company
Englewood, CO
830 Employees
Year Founded: 2009

What We Do

At Navixus, we’re reinventing the customer experience (CX). We help enterprise-level companies solve the most complex CX and contact center problems. We equip our Clients with the strategies, technologies, cross-platform analytics and out of the box, fresh ideas so they can provide their customers with world-class service experiences, and interact across multiple channels.

Why Work With Us

At Navixus you have an opportunity to positively impact the way our clients engage with their customers which in turn improves their customer experience and business outcomes. If you are looking to grow your career, learn more, develop new skills, and work in a highly collaborative environment then you’ve come to the right place.

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Navixus | Tech Mahindra Teams

Team
Technology Consulting
About our Teams

Navixus | Tech Mahindra Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our hybrid model encompasses a team of remote employees who have access to the office in the Denver metro anytime they like.

Typical time on-site: Not Specified
Englewood, CO
The Denver Tech Center is just south of the city of Denver. We are walking distance to the Lincoln Avenue RTD station, restaurants, trails, and more.

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