Lead Data Engineer - Finance & Accounting Focus Job at Zelis (St. Petersburg)

New

Sr. Finance Manager, Resource Investment Strategy

The Commercial Product and Infrastructure (CPI) Finance organization supports Mi...

Location

United States , Redmond

Salary:

96500.00 - 188400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, accounting, controllership or finance, or related field OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 4+ years experience in financial analysis, accounting, controllership or finance, or related field OR equivalent experience.
Masters Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 6+ years of post-graduate financial analysis, accounting, controllership, or finance work experience OR Bachelor's degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 8+ years of post-graduate financial analysis, accounting, controllership or finance work experience OR equivalent experience.
1+ year(s) experience in multinationals with multi-product/multi-segment finance roles.
1+ year(s) work experience in matrix-based organization.
1+ year(s) work experience in the technology or software industry.
2+ years of experience supporting cost management and cost optimization analysis.

Job Responsibility

Business and Finance Partnership: Provide strategic partnership to Engineering and Finance leaders to drive operating leverage through resource allocation and investment optimization by providing visibility into the current resource landscape, analyzing macro‑level results and benchmarks, and applying systems thinking to identify and recommend levers that inform decision‑making.
Business Health: Drive process excellence while partnering across Engineering and Finance to assess the overall health of the business and understand key drivers to identify opportunities, risks, and tradeoffs. Share monthly and quarterly results with clarity and a focus on actionable insights, proactively identifying risks and recommending actions to support operating margin improvements.
Lead Resource Allocation Decisions: Ensure resources and investments are aligned with business strategy, product engineering roadmaps, and company priorities. Connect short‑ and long‑term decisions with business strategy to support informed resource allocation decisions.
Productivity Framework: Implement productivity analysis and processes to assess Engineering resource needs, providing the business with data‑driven insights on areas requiring efficiency improvements and areas that support further investment.
Reporting: Publish executive‑ready monthly resource summaries highlighting risks, opportunities, and key drivers. Deliver resource reviews with Finance leaders, clearly communicating results and recommendations. Automate and improve reporting processes where possible using available tools.
Thought Leadership: Leverage holistic analytical frameworks and best practices across Finance to identify trends and deliver insights that support efficient resource allocation and investment decisions.
Embody our culture and values.

Fulltime

New

Director of Data Engineering and Agentic AI Automation

We are looking for a Director of Data Engineering and Agentic AI Automation to l...

Location

United States , San Francisco

Salary:

347000.00 - 490000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

12+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets
Proficiency in SQL and Python, with demonstrated experience in schema design, data modeling, and orchestration frameworks
Expertise in distributed data processing technologies such as Apache Spark, Kafka, and cloud-native storage (e.g., S3, ADLS)
Deep knowledge of enterprise data architecture, especially within Finance and Supply Chain
Familiarity with financial processes (close, allocations, revenue recognition) and supply chain data models (Supply and demand planning, procurement, vendor master), along with experience in ingesting data from internal engineering systems with large volumes of B2C
Strong track record of partnering with senior business stakeholders and translating complex requirements into scalable technical solutions

Job Responsibility

Build and maintain scalable, auditable data infrastructure that powers accurate financial information, with a focus on revenue recognition, compute attribution, and close automation
Lead and grow teams of analytics engineers, data engineers, and AI engineers to deliver high-impact, intelligent data systems
Guide work across financial close and allocations automation, B2C revenue automation from engineering systems to ERP (including reconciliation with cash and source systems), and other mission-critical financial processes
Design and implement data pipelines connecting ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday
Build and support scalable, audit-proof architecture that enables reliable financial reporting and compliance
Develop data and AI-powered workflows that enhance forecasting accuracy, compliance automation, and operational efficiency
Create and maintain data marts and products that support stakeholders across Revenue, FP&A, Tax, Procurement, Hardware Accounting, and Controller teams
Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains
Set the technical direction and manage team structure, mentoring engineers and overseeing contractors or system integrators to ensure delivery of high-quality outcomes
Partner with senior leaders across Finance, Engineering, and Infrastructure to align on priorities and integrate new automation capabilities

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Manager II, Applications Developer, FinTech AI

We are seeking a Manager II, FinTech AI Application Development (L5B) to join Ub...

Location

United States , San Francisco

Salary:

211000.00 - 234000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Finance, Accounting, Computer Science, Data Science, or related field
Strong knowledge of enterprise finance platforms (e.g., Oracle EPM, SAP, data warehouses) and finance workflows
Demonstrated ability to lead cross-functional programs and influence senior stakeholders
10+ years of professional experience, including 5+ years in Finance/Accounting systems, processes, or technology
At least 2+ years of direct experience with AI/ML concepts, including generative AI, LLMs, or related technologies
CPA, CFA, or advanced degree in Finance, Accounting, or Data Science
Prior experience delivering AI/ML solutions in Finance or Accounting contexts
Familiarity with modern AI tools and techniques (e.g., prompt engineering, RAG, synthetic data)
Excellent communication and storytelling skills to translate technical concepts for Finance leaders
Experience managing and mentoring technical teams

Job Responsibility

Own and drive the AI roadmap for Finance and Accounting, in partnership with Finance leadership
Establish structured frameworks for identifying, evaluating, and prioritizing AI opportunities based on ROI, scalability, and risk
Stay ahead of AI and ML advancements, translating them into practical applications for Finance and Accounting
Act as the primary liaison between Finance/Accounting and Engineering, ensuring AI initiatives align with business goals
Champion AI adoption across Finance by influencing stakeholders, shaping narratives, and demonstrating value
Partner with central AI platform teams to leverage infrastructure, tools, and best practices
Manage and mentor a small but growing AI-focused team, fostering a culture of innovation and learning
Guide the design and validation of AI proofs-of-concept (developed by technical contributors), ensuring alignment with Finance needs
Engage with technical details as needed to evaluate approaches and ensure sound design
Oversee the transition of successful POCs into production through close collaboration with Engineering

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

Fulltime

Senior Analyst - Data and BI

Join our team to drive key finance projects, support decision-making, and enhanc...

Location

United States , Altamonte Springs, Florida; Jacksonville, Florida; Orlando, Florida; Tampa, Florida; Sunrise, Florida

Salary:

68000.00 - 85000.00 USD / Year

LHH

Expiration Date

Until further notice

Requirements

Minimum 5years’ proven working experience of working within a data analytics, BI or data engineering field, ideally with some experience in a Finance function or Finance focus
Bachelor's or master’s degree in data science, Computer Science of Business Analytics or a related field
Strong analytical and problem-solving skills to identify trends, patterns, and opportunities for improvement
A passion for creating technical solutions using PowerPlatforms
High level of accuracy, and excellent attention to detail
Driver of change, forming a perspective and communicating it effectively
Good written and verbal communication skills, with the ability to communicate and influence at all levels of the organisation who have varied levels of technical knowledge
An inquisitive and proactive nature, “can do” attitude
Comfortable working autonomously and part of a team
Deadline and action oriented, ability to manage multiple priorities to ensure project timelines are met

Job Responsibility

Drive key finance projects, support decision-making, and enhance efficiency
Overhaul the LHH CTM/LD Finance manual reporting, processes and models through leveraging Group-approved tools: Microsoft PowerPlatforms (PowerAutomate & PowerBI), SQL Server & MicroStrategy
Leverage Microsoft Power Platform (Power Automate, Power BI, Power Apps) and other group approved tools to reduce manual workloads in Finance
Develop system solutions for manual reporting
Assist in the design and roll-out of streamlined, automated financial processes and models
Build data-driven solutions using SQL Server, MicroStrategy, and Power BI to improve financial insights and to support leaders in Financial Decision making
Ongoing maintenance of solutions and data security and access control in front-of-mind
Maintain process automation documentation for future reference and training purposes
Act as a training and development champion, ensuring teams are fully equipped to use new finance systems and tools
Lead change management efforts to drive adoption of new processes and technology

What we offer

Growth opportunities within a HR Solutions global leader
We prioritize learning to stay agile in an increasingly competitive business environment
We foster an open-minded environment where people spark new ideas and explore alternatives
Additional benefits including PTO, Paid Holidays, and more
Bonus opportunity

Fulltime

Sr. Manager, Data Governance

The Sr. Manager, Data Governance will play a pivotal role in maturing our data g...

Location

United States , Remote

Salary:

100277.88 - 235026.28 USD / Year

Comcast Advertising

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field (Master's preferred)
7+ years of experience in data governance, data management, or a similar role, with at least 3 years in a senior or leadership capacity managing teams
Strong foundational knowledge of data governance frameworks (e.g., DAMA-DMBOK)
Hands-on expertise in implementing data governance and MDM on modern platforms, such as Atlan for metadata/cataloging, automated data profiling (Playbooks), governance workflows, and policy automation
Reltio for MDM (with emphasis on match/merge/survivorship for Salesforce entities like Accounts and Opportunities)
Databricks Unity Catalog
Snowflake Polaris Catalog
and AWS services (e.g., S3, Glue, Athena)
Proficiency in SQL and data modeling, with experience in data quality tools and processes (e.g., profiling, cleansing, and validation)
Demonstrated ability to roll out Data Governance, master data unification, and automated practices in a cross-functional, multi-domain setting

Job Responsibility

Work with Domain Owners/Data Stewards to define Data Governance Epic Scope and Identify new CDEs with proper Business Glossary Definitions
Define the necessary Data Quality and Reconciliation Rules/Business Logic required to ensure the efficacy of CDEs
Work with Data Engineering to ensure we capture Technical Lineage for our CDEs
Implement CDE Data Quality Rules, Reconciliation Controls and corresponding Quality Dashboards
Automate CA Data Governance processes in our Metadata/MDM tooling (i.e. Match-Merge Resolution, etc.)
Lead Data Remediation activities with Technology Platform Owners and cross-functional teams
Maintain/Publish Data Governance Reporting/Status for all activities
Implement comprehensive data governance practices, including data stewardship, metadata management, data lineage, quality assurance, identification and governance of Critical Data Elements, promotion of data ethics and responsible AI practices, and master data management processes across multiple domains
Lead the maintenance and optimization of data governance ensuring compliance with regulatory requirements (e.g., GDPR, CCPA) and internal standards
Drive the rollout of new, automated data governance practices by integrating tools like Atlan for advanced metadata management, cataloging, automated data profiling (via Playbooks), governance workflows (for approvals, access requests, metadata enrichment, and policy enforcement), Reltio for master data management (including advanced match, merge, survivorship, and golden record creation for entities such as Salesforce Accounts, Opportunities, and related objects), and platforms such as Databricks (Unity Catalog), Tableau Cloud and Snowflake

What we offer

Paid Time off
Physical Wellbeing
Financial Wellbeing
Emotional Wellbeing
Life Events + Family Support

Fulltime

New

Plant Finance Manager

A growing national food manufacturer in Elizabeth, New Jersey is seeking a strat...

Location

United States , Elizabeth

Salary:

165000.00 - 175000.00 USD / Year

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in finance, accounting, or related field
8+ years of progressive experience in manufacturing finance, plant controlling, or operations-focused FP&A
Strong background in cost accounting, manufacturing metrics, and operational finance within small- to mid-sized company environments
Advanced Excel and financial modeling skills
ERP experience required
Proven ability to influence plant leadership and drive profitability through data-driven insights

Job Responsibility

Serve as the plant-level finance liaison to Corporate Accounting, ensuring accurate financial data flow
Lead weekly and monthly financial reviews with plant leadership, highlighting risks, opportunities, and action plans
Monitor facility profitability, including labor, materials, yield, waste, overhead absorption, and plan variances
Deliver financial modeling and scenario analysis to support production planning, labor strategies, and capital investment decisions
Partner closely with Operations, Supply Chain, and Engineering to translate production drivers into financial impact
Support M&A integration efforts, system implementations, and financial process improvements
Analyze standard costing, manufacturing variances, and identify cost improvement opportunities
Develop and manage annual budgets, rolling forecasts, and long-range financial plans
Quantify savings from continuous improvement initiatives and track realized benefits
Support pricing analysis, new product introductions, and volume/mix assessments

What we offer

401k
paid time off
health insurance
excellent comprehensive health insurance plan
401k plan with a generous company match
liberal PTO policy

Senior Data Analyst

We’re hiring a Senior Data Analyst to help lay the foundation of a modern analyt...

Location

United States , San Francisco

Salary:

200000.00 - 230000.00 USD / Year

Ambience Healthcare

Expiration Date

Until further notice

Requirements

5+ years in a full-time analytics/BI role at a high-growth company or data-focused organization
Expert-level SQL for complex joins, window functions, query optimization
Strong proficiency in Python or R for data wrangling, analysis, and light ML/forecasting
Mastery of at least one modern BI platform (e.g. Power BI, Looker, Tableau, Sigma)
Experience partnering cross-functionally with teams like Product, CS, Ops, GTM, and Finance
Comfort working with Data Engineering—reviewing dbt PRs, aligning on schema design, and ensuring SLA compliance
Exceptional communication and data storytelling skills—comfortable briefing execs and mentoring power users

Job Responsibility

Build intuitive, actionable dashboards for internal teams (Product, Customer Success, Execs) and external stakeholders (customers, partners)
Define and maintain trusted KPI definitions for core business metrics—MAU, feature adoption, churn risk, ROI impact, and more
Launch predictive models (e.g. churn forecasting, ROI projections) and surface insights in tools teams already use (e.g. Slack, Notion)
Develop account health, telemetry, and ROI dashboards used to guide QBRs, product roadmap, and revenue strategy
Collaborate with data engineers on semantic layers, testing frameworks, and scalable data modeling
Lead data bootcamps, publish a searchable data catalog, and champion self-service analytics across functions
Translate stakeholder questions into clear KPIs, hypotheses, and decision-ready analysis

What we offer

Meaningful equity
Dedicated budget for personal development, including access to world class mentors, advisors, and an in-house executive coach
Competitive salary and equity compensation with benefits including health, dental, and vision coverage, quarterly retreats, unlimited PTO, and a 401(k) plan

Fulltime

New

Senior Analytics Manager - Payments and Identity

As Senior Analytics Manager, Payments & Identity, you will be the senior analyti...

Location

United States; Canada; Mexico , San Francisco; Atlanta; Austin; Boston; Chicago; Dallas; Denver; Houston; Jacksonville; Los Angeles; Miami; New York City; Phoenix; Portland; Sacramento; Salt Lake City; San Diego; Seattle; Washington, D.C.; Ottawa; Toronto; Vancouver; Mexico City

Salary:

121000.00 - 228500.00 USD / Year

Scribd

Expiration Date

Until further notice

Requirements

7+ years of experience in analytics (for example product, payments, or platform analytics), ideally in a subscription or consumer environment, with a track record of leading high-impact work end to end
Deep, hands-on domain expertise in payments and identity, including authorization and settlement, retries and dunning, decline reasons, fraud and chargebacks, identity and authentication flows, and evaluating payment service providers on both performance and cost
Experience leading or managing analysts, including setting direction, reviewing complex work, and developing others
Strong technical toolkit: advanced SQL
experience with a programming language such as Python or R
and comfort working with modern data warehouses and observability tools (for example Databricks and Datadog)
Deep experience with BI tools such as Looker, including designing and maintaining performant, cost-conscious dashboards that teams can safely use for self-serve decision-making
Experience with payments and subscription analytics (for example authorization and settlement rates, bill-through, recapture, passive churn, payment service provider volume share, LTV, unit economics) and lifecycle or cohort analysis
Experience with experimentation and event instrumentation for billing, payments, or identity flows, including defining success metrics, working with experimentation platforms such as StatSig, and producing clear experiment readouts and narratives for senior audiences
Excellent communication and stakeholder management skills, with a track record of translating complex analyses into clear, concise stories and influencing senior partners across product, engineering, finance, and operations

Job Responsibility

Lead end-to-end analytics for the payments lifecycle, including authorization and settlement, retries and dunning, recapture, passive churn, and bill-through, and tie these metrics directly to subscriber, revenue, and unit economics outcomes
Develop and own the core Payments KPI framework (for example Payment Success Rate, authorization and settlement rates, payment service provider volume share, cost per transaction, cost of ownership, fraud and chargeback guardrails) and use it to guide strategy and vendor decisions
Lead analytics for Identity flows, including account creation, authentication, login and signup friction, error and lockout rates, dormant account behavior, and identity risk and safety metrics, and build the initial analytics foundation and metrics framework for the Identity squad
Build and maintain reliable dashboards and reporting that provide a holistic view of Payments & Identity health, designed with performance, cost, and self-serve use in mind, primarily using Looker and Databricks
Partner with Product, Engineering, Finance, and Operations on payments & identity strategy, routing and configuration changes, fraud controls, billing changes, and other key initiatives, quantifying tradeoffs across revenue, cost, risk, and customer experience
Drive instrumentation, observability, and data quality for Payments and Identity by defining event and data requirements, partnering with engineering on tracking and monitoring, and putting in place checks and alerts for key flows and metrics
Collaborate with Data Platform and Data Engineering on data models that make Payments and Identity data easier to query, debug, and monitor, and that support fast experimentation and operational reporting
Manage and mentor analysts (starting with a payments-focused analyst), providing coaching, feedback, and review, and helping define best practices for Payments & Identity analytics

What we offer

Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
12 weeks paid parental leave
Short-term/long-term disability plans
401k/RSP matching
Onboarding stipend for home office peripherals + accessories
Learning & Development allowance
Learning & Development programs
Quarterly stipend for Wellness, WiFi, etc.
Mental Health support & resources
Free subscription to the Scribd Inc. suite of products

Fulltime

Lead Data Engineer - Finance & Accounting Focus

Zelis

Location:
United States , St. Petersburg ▼
Plano
Boston
St. Louis
Atlanta

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 20, 2026

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