Senior Manager, Finance Data Lead

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Company:
Ball Corporation

Location:

Westminster, CO, US, 80021

Date:
Aug 25, 2026

Job Category: IT Administration

Req.

At Ball, integrity and trust are the foundation of who we are. Guided by our core values —"We Care. We Work. We Win."— we create a culture where every voice matters and every idea drives progress.

Together with our global employees, customers, and partners,we’returning bold sustainability goals into reality and shaping a future we can all be proud of.

The Senior Manager, Finance Data Lead is the accountable product owner for the analytics product portfolio within an assigned business domain (e.g., Finance, Procurement, Manufacturing, Commercial). This role reports to the Director, Analytics Products and operates as the enterprise product delivery layer for a defined function / business domain — owning the full lifecycle of analytics products from backlog prioritization through adoption and lifecycle management.

1. Domain Backlog Ownership & Prioritization

• Leading and developing the functional analytics product backlog for the assigned business domain — maintaining prioritization alignment to enterprise priorities, business outcomes, and data roadmap commitments
• Lead and assigning/delegating, backlog grooming and prioritization reviews with domain business leaders — surfacing trade-offs and capacity constraints to the Director, Analytic Products
• Establish and enforce agile delivery rituals within the Functional Design Team: sprint planning, backlog refinement, release readiness reviews, and retrospectives
• Resolve cross-functional backlog conflicts within the defined governance model; elevate to Director, Analytic Products when trade-offs affect enterprise-tier products

2. Data Layer Readiness & Quality Gates

• Own the Silver → Gold data layer sequencing for domain products — working in partnership with Data Architecture and the embedded Data Engineering team to ensure data layer work is ready before product build begins
• Enforce data readiness gates:
  Silver-layer quality must meet defined thresholds before Gold-layer product build begins — no downstream product is released on unreliable data
• Coordinate with the Sr. Manager, Data Management on data quality issues that affect domain product reliability; elevate persistent failures through the defined DQ escalation path

3. Analytics Product Delivery & Release Validation

• Leading and developing delivery and operation of enterprise Power BI semantic models, certified datasets, and dashboards for the domain — built to reuse standards and aligned to the enterprise Metric Catalog
• Leading and developing release validation and reconciliation for analytics products within the domain prior to production deployment — no product is released without passing data accuracy and business acceptance gates
• Track and publish reconciliation failure rates and release quality metrics to the Director, Analytic Products as part of product health reporting

4. User Adoption & Product Health

• Leading user adoption accountability for the domain analytics products — adoption targets are part of product acceptance criteria, not a post-launch aspiration
• Monitor product health scorecards tracking active user rates, feature utilization, business rhythm integration, and self-service rates by product
• Partner with Data Program & Portfolio Management to support portfolio transparency and participate in recurring product health reviews

5. Product Lifecycle Management

• Own analytics product lifecycle decisions for the domain — enhancement, retention, rationalization, and retirement — using a defined framework based on adoption rates, business criticality, and maintenance cost
• Maintain visibility into total cost of ownership across the domain portfolio; flag products at risk of under-utilization or unsustainable maintenance burden to the Director, Analytic Products
• Lead, coach, and develop the team of Engineers and Sr. Analysts within the domain team — building outcome-oriented teams accountable for product delivery and adoption
• Apply and enforce consistent product…