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Job Opportunity: Data Product Manager

Location: Cleveland, Ohio/ Pittsburgh, Pennsylvania Hybrid

Duration: Full-Time

Key Responsibility

Product Ownership & Strategy

• Own end-to-end lifecycle of assigned data products, including vision, strategy, roadmap, and delivery.
• Collaborate with business units, analytics teams, and technology partners to prioritize features and enhancements.
• Define and track key product success metrics and adoption KPIs.
• Advocate for data products across the organization, ensuring alignment with enterprise data governance and cloud/data strategy initiatives.
• Stakeholder Engagement
• Act as the primary liaison between business stakeholders and data engineering/analytics teams.
• Gather and translate business requirements into actionable data product specifications.
• Facilitate cross-functional collaboration to resolve trade-offs and dependencies.

Data Governance & Quality

• Ensure data products comply with regulatory, security, and privacy requirements.
• Define and enforce data quality standards, lineage, and observability metrics.
• Collaborate with Data Governance, Risk, and IT Security teams to maintain compliance and audit readiness.

Technical Leadership

• Understand and leverage modern data technologies (e.g., relational databases, data warehouses, data lakes, ETL pipelines, cloud platforms, APIs, BI tools).
• Collaborate with data engineering teams on architecture, modeling, and platform decisions.
• Evaluate emerging technologies and recommend innovations to improve data products and processes.

Execution & Delivery

• Drive delivery of data products using agile methodologies.
• Prioritize backlog, manage sprints, and ensure timely delivery of features.
• Monitor and measure product performance, adoption, and business impact.
• Thought Leadership
• Contribute to the overall data product management framework and best practices within the bank.
• Promote a culture of data-driven decision-making and product-centric thinking.

Required Qualifications

• 8+ years of experience in data product management, data strategy, or analytics roles; experience in banking/financial services preferred.
• Strong understanding of core banking products (e.g., deposits, loans, payments) and associated operational data flows.
• Solid knowledge of data architecture, warehousing, BI, analytics, and cloud platforms.
• Proven ability to manage multiple data products simultaneously.
• Excellent communication, stakeholder management, and leadership skills.
• Experience with Agile/Scrum methodologies and data governance frameworks.
• Bachelor's degree in Computer Science, Information Systems, Finance, or related field; advanced degree preferred.

Preferred Qualifications

• Hands-on experience with HiveQL, SQL, Tableau
• Understanding of regulatory reporting requirements (e.g., CCAR, FR Y-14, Basel).
• Exposure to semantic layers, or enterprise data product management frameworks.

Job Summary:

Our client is seeking a Senior Data Analytics Engineer (Customer Data) to join their team! This position is located in Irving, Texas.

Duties:

• Support cross-functional teams including Marketing, Data Science, Product, and Digital
• Build datasets that power: customer segmentation, personalization workflows, campaign and lifecycle analytics, BI dashboards and KPIs and real-time and ML-driven customer experiences
• Build, optimize, and maintain customer data pipelines using PySpark/Databricks
• Transform raw customer data into analytics‑ready datasets for reporting, segmentation, personalization, and AI/ML applications
• Develop customer behavior metrics, campaign insights, and lifecycle reporting layers
• Design datasets used by Power BI/Tableau; dashboard creation is a plus, not required
• Optimize Databricks performance such as: skewed joins, partitioning, sorting, caching/persist strategy
• Work across AWS/Azure/GCP and integrate pipelines with CDPs
• Participate in ingestion and digestion phases to shape MarTech and BI analytical layers
• Document and uphold data engineering standards, governance, and best practices across teams

Desired Skills/Experience:

• 6+ years in Data Engineering or Analytics Engineering
• Strong hands-on experience with: Databricks, PySpark, Python and SQL
• Proven experience with customer/marketing data: segmentation, personalization, campaign analytics, retention, behavioral metrics
• Ability to design performance‑optimized pipelines; batch or near real-time
• Experience building datasets consumed by Power BI/Tableau
• Understanding of CDP workflows, customer identity data, traits/feature modeling, and activation
• Strong communication skills, translating marketing needs into technical data solutions
• Power BI expertise, major plus
• Experience with Delta Lake, orchestration, or feature engineering for ML
• Background as an Analytics Engineer, BI/Data Modeling Engineer, or Data Engineer with strong analytics orientation

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position starting at $140,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

Our client, a luxury fashion brand, is seeking a CRM Data Analyst Temp to join their NYC team on a temporary basis.

Responsibilities:

• Transform complex client analyses into clear, concise, and visually engaging PowerPoint presentations, influencing stakeholders through compelling data-driven narratives.
• Use product knowledge of our systems, tools, and the client database to identify and implement innovative approaches to client analysis
• Create insightful reports that enable data-driven decisions for home office partners, and proactively explore and implement automation opportunities to enhance efficiency
• Collaborate with key home office partners (e.g. VIC, Fashion Expertise, Events, Retail Operations, Merchandising teams) to support respective team goals and inform strategies with client data
• Dynamically support boutiques with complex client reporting needs and initiatives
• Spend time with boutique teams to understand their individual needs and collaborate on ways to support Fashion Advisors with client data and client tools
• Liaise with divisional counterparts to unlock synergies and align on key initiatives and priorities
• Demonstrate expert-level knowledge of current client data tools (Salesforce, Looker) to pull with speed, and proactively identify and communicate process improvements to enhance efficiency and effectiveness of reporting and segmentation tools as needed
• Project manage the implementation of database and/or tool enhancements from concept to QA and final delivery in order to meet the evolving needs of business partners and team, collaborating closely with Tech to translate business requirements into actionable technical specifications

Qualifications:

• 7+ years experience in data analytics or strategy/business intelligence role
• Experience with Salesforce
• Experience with Looker Studio
• Prior professional experience collaborating with cross-functional partners to design and launch a new technical platform
• Familiarity with IT functions, including system architect and landscape
• Expertise in Excel and PowerPoint
• Ability to communicate ideas effectively to a range of audiences (written & verbal)
• Luxury retail and/or brand experience preferred

Please submit your resume for consideration.

You can use to collect and manage your references for free and share them with us or anyone else you choose. Candidates with references are always preferred by our clients. Now is the most important time to stand out from the crowd. We suggest that you ensure you have updated your LinkedIn profile and that you start collecting your references early.

• Lead, mentor, and develop a team of data scientists, fostering a collaborative and high-performing environment
• Oversee the full data science lifecycle, including problem definition, data exploration, model development, validation, and production deployment
• Design and guide the development of machine learning and statistical models that drive business value
• Translate complex business requirements into scalable, data-driven solutions
• Partner closely with Product, Engineering, and business stakeholders to align on priorities and deliver impactful outcomes
• Establish and promote best practices in data science, machine learning, and model lifecycle management
• Communicate technical concepts and insights effectively to non-technical audiences
• Contribute to strategic planning and roadmap development for data and AI initiatives

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience)
• 8+ years of experience in data science, analytics, or machine learning development
• 5+ years of experience managing or leading data science or analytics teams
• Strong hands-on experience building and deploying production-grade machine learning models
• Experience working within Agile or modern software development environments
• Deep understanding of machine learning methodologies, statistical modeling, and data architecture
• Proven ability to collaborate cross-functionally and influence stakeholders

• Experience working with healthcare data or healthcare technology platforms
• Experience building or scaling a data science or AI team
• Advanced degree (Master's or PhD) in a related field
• Experience driving AI/ML initiatives that support decision-making or recommendation systems

• This is a remote position (US-based candidates only)

Must be local to TX

Skills:

Delivery manager

2026 road map

To deliver roadmap, interact with business, explain value prop, understand their rules, standard rules

Manage timelines

Partner with segments

Before and after Data Quality scores

Technical

Articulate technical design and solutions

Capabilities of Collibra, Soda

How to use those tools

Proactive communication skills

12+ years kind of role Technical Project Manager with solutioning and problem skills

Role Summary

The Data Governance Lead will design, build, and scale an enterprise data governance program from the ground up, using Collibra as the core platform for a large real estate enterprise. This senior role combines strategic leadership, hands‐on Collibra configuration, stakeholder management, and deep domain knowledge of real estate data. The incumbent will own the governance vision, operating model, and tooling, and will partner with business, IT, data engineering, analytics, legal, and compliance teams.

Key Responsibilities

1. Data Governance Strategy and Operating Model

• Define and implement the enterprise data governance strategy, roadmap, and operating model aligned to business objectives.
• Define governance KPIs, maturity metrics, and success measures.
• Drive adoption through change management, communications, and training.

2. Collibra Implementation from Scratch

• Lead end‐to‐end Collibra implementation: platform setup, environment planning (Dev/Test/Prod), domain modeling, and taxonomy design.
• Customize asset models for real estate use cases.
• Configure and manage Business Glossary, Data Dictionary, Data Catalog, and Reference Data & Code Sets.
• Design and implement Collibra workflows for glossary lifecycle, owner/steward assignment, issue management, and escalation.
• Implement Collibra operating model with defined roles (Data Owner, Data Steward, Custodian, Consumer) and RACI mappings.
• Integrate Collibra with data warehouses/lakes (Snowflake, BigQuery, Azure), BI tools (Power BI, Tableau), and ETL/ELT tools (Informatica, dbt, ADF).
• Lead metadata ingestion across technical, operational, and business metadata.

3. Data Ownership, Stewardship, and Accountability

• Define and institutionalize data ownership and stewardship across business units.
• Partner with business leaders to assign Data Owners and Stewards.
• Drive accountability for data definitions, data quality, and metadata completeness.
• Establish Data Governance Councils and working groups.

4. Data Quality and Issue Management

• Collaborate with data quality teams to define Critical Data Elements (CDEs) and align rules and thresholds.
• Configure Collibra issue management workflows and ensure traceability from issues to root causes and remediation actions.
• Provide governance oversight for remediation and continuous improvement.

5. Compliance, Risk, and Security Governance

• Define governance controls for regulatory compliance, contractual data, and financial reporting.
• Partner with Legal, Risk, and Security to classify sensitive data and apply access and usage policies.
• Implement data classification and privacy metadata within Collibra.

6. Stakeholder and Program Leadership

• Serve as the single point of accountability for the data governance program.
• Present progress, metrics, and risks to senior leadership.
• Mentor governance analysts, stewards, and platform administrators.
• Coordinate with system integrators and vendors as required.

Required Skills and Qualifications

Mandatory

• 12–18+ years in data management, data governance, or analytics leadership.
• Deep hands‐on experience implementing Collibra from scratch at enterprise scale.
• Strong expertise in business glossary and metadata management, stewardship models, and workflow automation in Collibra.
• Proven track record driving enterprise adoption of governance platforms.
• Excellent stakeholder management and communication skills.

Preferred

• Experience in real estate, property management, construction, facilities, or capital projects.
• Familiarity with DAMA‐DMBOK, DCAM, or similar governance frameworks.
• Exposure to data quality tools such as SODA, Great Expectations, or Informatica DQ.
• Experience integrating Collibra with cloud data platforms.
• Prior experience leading governance programs in large, federated organizations.
• Collibra certification is a plus.

Behavioral and Leadership Attributes

• Strategic thinker with strong execution capability.
• Balances business pragmatism with governance rigor.
• Influences without formal authority and drives change.
• Excellent storytelling and change management skills.
• Hands‐on leader who can configure Collibra and mentor teams.

Success Measures First 12 Months

• Collibra platform live with core real estate domains onboarded.
• Business glossary adopted across key business units.
• Formal data ownership established for critical datasets.
• Measurable improvement in metadata completeness and data quality visibility.
• Governance operating model embedded into daily business processes.

LHH Recruitment Solutions has partnered with a growing organization, and they are seeking a motivated Manufacturing Data & Sales Analyst to join their team. Seeking a data-driven analytics professional who thrives at the intersection of manufacturing operations, business intelligence, and executive decision support. This is a high-impact role for someone who enjoys building insight from the ground up—designing dashboards, automating reporting, owning data integrity, and translating complex information into clear, actionable business outcomes.

Why This Role Stands Out:

• High visibility and direct partnership with senior leadership.
• Opportunity to own and evolve enterprise-level analytics and reporting.
• Manufacturing environment where data truly drives strategy.
• Long-term growth potential in a stable, well-capitalized organization.

Key Responsibilities:

Data, Analytics & Reporting:

• Design, build, and continuously enhance dashboards, scorecards, and KPI reporting to support operational and commercial performance.
• Translate raw data into meaningful insights that influence decision-making at the executive level.
• Automate recurring reports and analytics processes to improve efficiency, accuracy, and scalability.
• Analyze trends related to revenue, production performance, forecasting, and product initiatives.

Manufacturing & Cross-Functional Partnership:

• Collaborate closely with Operations, Finance, IT, and Commercial teams to align data, metrics, and performance goals.
• Support forecasting, planning cycles, and performance reviews with reliable, actionable analytics.
• Identify risks, opportunities, and performance gaps within data sets and recommend solutions.

Systems & Data Ownership:

• Act as the primary owner of manufacturing and sales-related data systems, ensuring usability, accuracy, and value.
• Lead continuous improvement of reporting tools and system integrations.
• Partner with internal and external stakeholders to enhance system reporting capabilities.
• Champion data governance, consistency, and best practices across the organization.

Qualifications and Skills:

• Bachelor’s Degree in Data Science, Analytics, Business Intelligence, or a related field
• Proven experience building and maintaining dashboards, scorecards, and analytics tools.
• Background supporting a manufacturing environment.
• Strong ability to own data end-to-end—from extraction to interpretation to executive presentation.
• Experience automating reporting and analytics processes.
• Advanced analytical, problem-solving, and critical-thinking skills.
• Ability to clearly communicate insights to both technical and non-technical audiences.
• Advanced proficiency with Excel, reporting platforms, and Microsoft Office Suite.
• Advanced proficiency in SQL, PowerBI, and/or Tableau.
• Experience with IQMS is preferred.
• Strategic mindset with exceptional attention to detail.

Compensation Range: $90,000 - $120,000 + 15% Bonus

Benefits Offered: 2 weeks of vacation, paid sick leave where applicable by state law, Medical Insurance, Dental Insurance Vision Insurance, 401K, and Life Insurance.

If you are a passionate Manufacturing Data & Sales Analystlooking for anew and rewarding career, please apply today! You don’t want to miss out on this opportunity!

LHH is a leader in permanent recruitment—and in the placement of top talent. Our areas of specialty include office administration, customer service, human resources, engineering, and supply chain and logistics. Please feel to check us out and apply for other opportunities if this role isn’t a perfect match.

Equal Opportunity Employer/Veterans/Disabled

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Onsite Monday-Thursday, Remote Fridays. About 25% travel

Our company is expanding our Data Center Build & Critical Environment practice, and we’re looking for a Data Center/Construction Solution Architect who can bridge the gap between business needs and physical data center realization.

In this role, you will architect services to produce high availability, high density, and construction-ready solutions across power, cooling, white space, and life-safety systems. You’ll guide clients through complex infrastructure decisions, lead technical scope development, partner with engineering and construction teams, and ensure the services you design perform as intended through commissioning and handover.

If you enjoy shaping mission critical environments, influencing system topologies, and pushing data center capabilities forward—this is the role.

Requirements:

•Bachelor’s or Master’s degree in Mechanical or Electrical Engineering, Industrial Engineering, or Construction Management.

•5+ years in data center design, mission critical construction, critical facilities engineering, or commissioning, preferably in hyperscale or colocation data centers.

•Strong understanding of UPS systems, switchgear, generators, chilled water/DX cooling, containment, fire & life safety, and high density/GPU cooling trends.

•Familiarity with Tier standards, TIA 942, ASHRAE TC 9.9, NFPA codes, and data center design and operational best practices.

•Ability to develop and defend CAPEX/OPEX models, evaluate vendor bids, and write detailed technical SOWs.

• •Skilled at simplifying complex engineering decisions for non-technical leaders and driving alignment across multiple stakeholders.

Main Duties / Required:

• Knowledge and use of basic telecom hand tools.
• Must understand customer service.
• Clear understanding of job safety requirements.
• Be able to read and understand floor plans.
• Should be familiar on wiring schemes and wiring testing.
• Should be able to pull all types of low voltage cable.
• Should understand and be capable in performing field terminations and labeling.
• Reports to Operations Manager and take daily directions from Technician, Technician II, Lead Technicians, Senior Technicians and Advance Senior Technicians.
• Capable of maintaining orderly paperwork, capable of running service jobs.
• Possess skill to layout MDF and IDF closets, be able to dress all types of cable, and perform all type of terminations.
• Capable of working in Data Centers
• Shall be able to install ladder racking and seismic bracing both above and under raise floor.
• Basic understanding of both copper and fiber cable testing and troubleshooting.
• Read and understand blueprints and design document
• Dress and furcate fiber trunks for splicing
• Maintaining orderly paperwork and running service
• Fusion Splice including Ribbon/Single OSP/ISP
• Install, connect, and decom network equipment
• Operate DSX 5000 tester/OTDR Tester
• Program testers
• Download test results to Linkware/Linkware Live
• Save test results, verify, and submit to customer
• Create mass labels and apply per Portmap
• Differentiate live cables from decom cable
• Copper testing and troubleshooting
• Conduct Service Swaps of live networking devices
• Understand "FIM" database and operate scanners

PHYSICAL REQUIREMENTS

• Primarily walking, standing, and bending for extended periods with some sitting.
• Ability to communicate effectively with verbal, written, visual and listening skills.
• Dexterity of hands and fingers to operate any required equipment as well as to operate a computer keyboard, mouse, and other technical instruments.
• Able to lift and carry heavy equipment, up to 50 pounds.
• Ability to pull cables.
• Ability to climb ladders an

Nice to have Skills:

Key Skills / Words: (at least 6)

Data Center

Technician

Decommission

Splicing

Low Voltage