Technical Project Manager

Location: Baltimore, MD (Hybird-3x week in Office) Type: Full-time

We are seeking a Technical Project Manager with a strong data background to support complex data and technology initiatives for a global banking client of ours.

This role is ideal for someone who combines strong project management and communication skills with the ability to understand and analyze data at a detailed level.

The successful candidate will operate as a blend of Project Manager and Business Analyst, owning project execution while partnering with business and technology stakeholders to define requirements, understand data, manage dependencies, and drive solutions from concept through delivery.

• Lead end-to-end projects, including planning, execution, timelines, risk management, and delivery.
• Partner with business, technology, data, and operations teams to define objectives, scope, requirements, and deliverables.
• Bridge business and technical teams by translating business needs into clear technical and data requirements.
• Develop project plans, milestones, status reporting, and executive-level communications.
• Facilitate requirements sessions, working meetings, stakeholder discussions, and project reviews.
• Analyze and document data requirements, data flows, attributes, relationships, and business rules.
• Demonstrate a strong understanding of data records, data elements/attributes, identifiers and keys, relationships, and what makes a record unique.
• Work with technical teams to understand source and target systems, data transformations, mappings, and dependencies.
• Identify data quality, reconciliation, completeness, and consistency issues.
• Assist with the creation and maintenance of business and functional requirements, data mappings, process flows, and project documentation.
• Manage project risks, issues, assumptions, dependencies, and decisions while driving accountability across teams.

• 6–8 years of experience in project management, technical project management, business analysis, data analysis, or a related field.
• Experience managing technology, data, or business transformation projects within a large enterprise, preferably in banking or financial services.
• Understanding of core data concepts, including:
• Data attributes/elements
• Records and datasets
• Unique identifiers and keys
• Data relationships
• Data lineage and flows
• Data mapping and transformation
• Data quality and reconciliation
• Ability to ask detailed questions and quickly understand complex data, systems, and business processes.
• Strong experience gathering, documenting, and managing business and technical requirements.
• Excellent verbal and written communication skills, with the ability to communicate effectively with both technical and non-technical audiences.
• Demonstrated ability to manage multiple stakeholders and drive projects to completion.
• Strong organizational, analytical, problem-solving, and prioritization skills.
• Experience working in Agile, Waterfall, or hybrid project environments.

• Experience with enterprise data platforms, data warehouses, or data integration environments.
• Familiarity with SQL and the ability to perform basic data analysis or independently validate data.
• Experience with data governance, metadata, data lineage, or data quality initiatives.
• Previous experience in banking, financial services, risk, regulatory, or enterprise data programs.
• PMP, Scrum Master, Agile, or related project management certification

The ideal candidate is not a traditional project manager focused primarily on timelines and status reporting.

They should be comfortable getting into the details of the data, asking the right questions, understanding how information moves between systems, and challenging requirements when something doesn't make sense.

They should be highly organized, technically curious, and an excellent communicator, with the ability to operate effectively between business and technology teams.

The right candidate can move seamlessly from an executive-level project discussion to a detailed conversation about data attributes, record structures, identifiers, mappings, and data quality.

In the US, the target base salary for this role is $110,000-$120,000.

is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography.

We expect the majority of candidates who are offered roles at our company to fall throughout the range based on these factors.

About eClerx

eClerx is a leading provider of productized services, bringing together people, technology and domain expertise to amplify business results.

The firm provides business process management, automation, and analytics services to a number of Fortune 2000 enterprises, including some of the world’s leading financial services, communications, retail, fashion, media & entertainment, manufacturing, travel & leisure, and technology companies.

Incorporated in 2000, eClerx is traded on both the Bombay and National Stock Exchanges of India.

The firm employs more than 19,000 people across Australia, Canada, France, Germany, Switzerland, Egypt.

India, Italy, Netherlands, Peru, Philippines, Singapore, Thailand, the UK, and the USA.

For more information, visit www.eclerx.com

You can also find us on:

https://www.linkedin.com/company/eclerx/

https://www.indeed.com/cmp/Eclerx/about

https://www.glassdoor.com/eClerx

eClerx is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

We are also committed to protecting and safeguarding your personal data.

Please find our policy here

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