Lead end-to-end delivery of a governed Collibra implementation: own project plan, sequence development/ETL/integration, enforce technical due diligence (TRA, ARB, security), manage vendors, drive milestones to production go-live, and ensure transition to business operations and early-life support.
The Technical Project Manager is expected to set direction
on delivery, challenge assumptions and estimates, hold teams and vendors to
their commitments, unblock dependencies, and escalate decisively while
respecting clear accountability boundaries. Driving outcomes does not mean
performing other teams’ work, it means ensuring that work is defined,
resourced, sequenced, completed and verified.
The role is responsible for:
- owning the end-to-end delivery plan and driving the
initiative to Iteration 1 production go-live and beyond;
- working backwards from the target production date to
sequence development and ETL completion, integration and configuration, UAT/QA,
TRA and ARB approvals, cutover and early-life support,
- producing and defending realistic, evidence-based estimates,
and challenging optimistic or unsupported timelines wherever they arise;
- driving completion of critical milestones across all parties
- internal teams, vendors and partners, not merely reporting on them
- ensuring full technical due diligence for responsible
adoption: architecture artefacts, ARB gates, Threat Risk Assessment (TRA),
security and privacy assessments, and enterprise production-readiness criteria
- ensuring the solution meets Enterprise Technology standards,
policies, architectural decisions and data sensitivity requirements
- supporting the Data and Analytics team as business owners of
the platform, while holding the solution to appropriate Security and Technology
standards
- establishing and enforcing a single authoritative source of
truth for requirements and user stories,
- operationalizing the agreed RACI and guarding accountability
boundaries so responsibilities are not silently shifted
- leading vendor and partner engagement, holding them to
scope, deliverables and timelines, and catching misalignment early
- reporting status, risk and required decisions honestly and
clearly to senior leadership, and
- driving delivery discussions toward facts and ownership,
what is missing, who owns it, when it will be resolved.
- Core outcome: a governed, production-ready and
sustainable Collibra implementation that is delivered through clear technical
project management, completed due diligence, validated readiness, and
accountable transition to business and operational ownership.
Requirements
Required Skills
- We are prioritizing candidates with approximately 7–10+
years of directly relevant experience and demonstrated success in the
following areas:
- 7–10+ years of hands-on technical project management
experience leading enterprise technology, SaaS, data platform, or complex
system implementation initiatives from planning through production go-live.
- Demonstrated ability to work backwards from the target
production date to sequence development and ETL completion, integration and
configuration, UAT/QA, TRA and ARB approvals, cutover, and early-life support.
- Proven ability to produce and defend realistic,
evidence-based estimates, and to challenge optimistic or unsupported timelines
wherever they arise.
- Experience implementing or operating Collibra, data
intelligence, metadata management, data catalogue, data quality, lineage, or
comparable platforms.
- Strong understanding of data governance operating models,
workflows, stewardship, ownership, and decision rights.
- Ability to translate business and technical needs into
executable project scope, requirements, milestones, dependencies, acceptance
criteria, risks, decisions, and delivery outcomes.
- Experience coordinating SaaS platform configuration,
integrations, testing, releases, and operational transition.
- Strong vendor, stakeholder, executive communication,
facilitation, dependency management, escalation, and decision-management
skills.
- Ability to operate effectively in complex,
multi-stakeholder, regulated environments.
Deliverables
- The Technical Project Manager is accountable for tangible
delivery outputs that move Collibra from planning and implementation through
governed production readiness, go-live, and early-life support.
- Integrated technical project plan, milestone roadmap,
sequencing dependencies, critical path, cutover approach, and early-life
support plan.
- Requirements traceability, delivery backlog, acceptance
criteria, dependency map, and validated delivery scope aligned to business and
technical readiness.
- Implementation plan, delivery governance, RAID/decision
logs, and executive reporting.
- Configured Collibra operating model, workflows, roles,
responsibilities, and access model.
- Metadata ingestion, catalogue, glossary, lineage, data
quality, and priority-domain onboarding outputs.
- Integration specifications, testing approach, release
readiness, and production sign-off.
- Stakeholder engagement, communications, training
coordination, readiness tracking, knowledge transfer, and transition materials
to support adoption and operational handover.
- Operational support model, support procedures,
documentation, production handover package, and post-go-live stabilization
tracking.
Must Haves:
We are prioritizing candidates with approximately 7–10+ years of directly relevant experience and demonstrated success in the following areas:
- 7–10+ years of hands-on technical project management experience leading enterprise technology, SaaS, data platform, or complex system implementation initiatives from planning through production go-live.
- Demonstrated ability to work backwards from the target production date to sequence development and ETL completion, integration and configuration, UAT/QA, TRA and ARB approvals, cutover, and early-life support.
- Proven ability to produce and defend realistic, evidence-based estimates, and to challenge optimistic or unsupported timelines wherever they arise.
- Experience implementing or operating Collibra, data intelligence, metadata management, data catalogue, data quality, lineage, or comparable platforms.
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